Dive into Manual Testing Interview Questions! Ace your interview with our guide on key Manual Testing Interview Questions for aspiring testers.
OVERVIEW
In a manual testing interview, you can expect to be asked a range of questions that test your knowledge of different types of manual testing, the testing life cycle, and the tools and techniques used in manual testing. This article provides an introduction to the basic concepts of manual testing and includes commonly asked interview questions with their answers. The questions are designed to be suitable for candidates with varying levels of skill, from beginners to experts. The Manual Testing interview can be easier to handle if you prepare and evaluate your responses in advance.
Now, let's explore a commonly asked interview questions related to Manual Testing, which are categorize into the following sections:
Remember, the interview is not just about proving your technical skills but also about demonstrating your communication skills, problem-solving abilities, and overall fit for the role and the company. Be confident, stay calm and be yourself.
Manual Testing Interview Questions
Note : We have compiled all Manual Testing Interview Questions List for you in a template format. Feel free to comment on it. Check it out now!!
Manual testing is a process where a human tester verifies software functionality by executing test cases to check if it performs as expected. Testers mimic user actions, like clicking buttons and entering data, and apply techniques like exploratory testing and boundary analysis to ensure the software meets requirements and is defect-free. Conducted in a test environment that resembles production, manual testing enables creative thinking to catch defects automated tests might miss. While it’s time-consuming and prone to human error, it’s ideal for small projects or when requirements are undefined and testing scope is limited.
The Software Development Life Cycle (SDLC) is a methodology that guides software teams in creating, implementing, and maintaining software. It includes stages such as planning (defining requirements and goals), requirements gathering (specifying detailed needs), design (architecting software and interfaces), implementation (coding and debugging), testing (verifying functionality and eliminating errors), deployment (releasing to production and training users), and maintenance (updating and improving software). These stages may overlap or be combined, depending on the development methodology used.
Manual testers are essential in software development, ensuring that software meets requirements and functions correctly. They work closely with developers, project managers, and other stakeholders to identify defects and issues. Their key responsibilities include test planning (defining scope, creating test plans, and identifying test cases), test case execution (running tests and reporting issues), defect tracking (documenting and resolving defects), user acceptance testing (ensuring software meets user needs), and collaboration (aligning testing with project goals and timelines).
Functional and non-functional requirements are two different types of requirements in software engineering. Here's the differences:
Aspects | Functional Requirements | Non-functional requirements |
---|---|---|
Definition | Describes what the system should do or the behavior it should exhibit. | Describes how the system should perform or the quality it should possess. |
Examples | Login functionality, search feature, order processing. | Response time, availability, reliability, scalability, security |
Measurability | Can be measured through user acceptance testing or functional testing. | Can be measured through performance testing, load testing, and other types of testing that evaluate system characteristics. |
Priority | Usually considered a higher priority as they directly relate to the functionality of the system. | Considered lower priority as they often relate to system performance, rather than system functionality. |
Implementation | Implemented using software development techniques and methodologies. | Implemented using system configuration, infrastructure design, and other techniques. |
Scope of impact | Impacts the system behavior or features. | It impacts the system performance or quality. |
Requirements type | Typically specific to the particular system being developed. | Generally applicable across multiple systems or projects. |
Functional requirements define what the system should do or what features it should have, while non-functional requirements describe how the system should perform or what quality attributes it should possess. Both types of requirements are important and necessary to ensure that the system meets the needs of the stakeholders.
Fuzz testing, or fuzzing, in manual testing involves testers deliberately inputting unexpected or random data into a software system to identify vulnerabilities. While automated fuzzing can provide broad coverage, manual fuzz testing allows testers to use their intuition and creativity to explore edge cases, input validation issues, and interactions that might not be covered by automated tools. It is particularly valuable for exploratory testing, where human judgment can uncover subtle weaknesses. Although manual fuzz testing may not be as exhaustive as automated approaches, it plays a key role in improving software security and reliability when combined with expertise and proper training.
In software engineering, validation and verification play crucial roles in ensuring that software products meet the required standards and specifications. Despite their interchangeable usage, these two terms have distinct meanings and purposes.
Validation | Verification |
---|---|
Validation is the process of reviewing or evaluating a finished product to confirm that it meets the user requirements and is fit for its intended use. | Verification is the process of evaluating the intermediate products or artifacts during the development process to ensure that they meet the specified requirements and standards. |
Validation is a dynamic testing process that involves actual testing of the software with various inputs and scenarios. | Verification is a static testing procedure that comprises checking to see if the design documentation, code, and other artifacts match the specified requirement and standard. |
Validation is performed at the end of the software development life cycle. | Verification is performed throughout the software development life cycle. |
Validation involves user acceptance testing (UAT), which is done by the end-users or customers. | Verification involves reviews, inspections, walkthroughs, and testing by the development team, quality assurance team, and other stakeholders. |
It focuses on the internal quality of the software, which is how well it adheres to the specified requirements and standards. | It focuses on the external quality of the software, which is how well it meets the customer's needs and expectations. |
Test cases are predefined instructions used to verify if a software application meets specified requirements. Each test case includes input data, expected output, and steps for execution, aiming to detect defects and ensure accurate functionality across scenarios.
Test cases are based on requirements, design specifications, or user stories and can be executed manually or with automation tools. By running test cases and reviewing feedback, software quality, reliability, and performance improve.
A test case includes components like a unique ID, description, test steps, input data, expected and actual outputs, and a pass/fail status. These elements help testers track, execute, and evaluate tests to ensure software functions as intended and meets requirements. The components may vary based on the type of testing being performed.
White-box testing is a software testing technique that examines the internal code, structure, and design of an application. With full knowledge of the code, testers check that the software meets functional and non-functional requirements by analyzing code structure, testing modules, and reviewing control and data flow. This approach, often used in unit, integration, and regression testing, is effective for identifying complex bugs and ensuring the software meets its specifications.
Grey-box testing is a software testing method blending black-box and white-box approaches. The tester has partial knowledge of the software’s internal structure and functionality, enabling a user-focused inspection to uncover issues affecting user experience. Commonly used in web applications with limited server-side access, grey-box testing aims to confirm the software meets requirements and improve its quality. This method is often applied in integration, system, and acceptance testing and can complement other testing techniques.
Usability testing is a technique utilized to assess a product's user-friendliness by having genuine users test it. The process entails observing individuals using the product to carry out tasks and collecting feedback on their experiences. The aim of usability testing is to uncover any usability issues and evaluate users' ability to complete tasks using the product. This testing method can be implemented on various products, including physical items, software applications, and websites. The outcomes of usability testing can assist designers and developers in enhancing the product's user interface and overall user experience, leading to higher levels of user satisfaction and engagement.
Compatibility testing is a software testing technique that evaluates an application’s performance across different environments, platforms, and configurations. This testing checks the software's compatibility with various operating systems, applications, devices, and network settings to ensure smooth, error-free operation.
The goal of compatibility testing is to verify the software functions well across all intended systems and configurations, identifying and resolving issues that might cause crashes or errors. It ensures the software provides a seamless user experience across multiple platforms.
Performance testing is a software testing method that evaluates an application’s speed, responsiveness, stability, and scalability under various workloads. Its goal is to assess how the software performs in real-world conditions and identify any performance issues.
Common performance testing methods include load testing, which checks performance under typical and high workloads; stress testing, which pushes the system beyond its limits to find weaknesses; and endurance testing, which evaluates performance over time. The main objectives are to ensure the software meets user expectations and to identify potential performance bottlenecks.
Load testing is a performance testing technique that assesses how a system or application handles expected or simulated user traffic and workloads. The goal is to determine if the system can manage high traffic without performance degradation or failure.
During load testing, the system is subjected to increasing user traffic or workloads to identify performance limits. It measures response time, resource usage, and other critical metrics. Load testing can be performed manually, automatically, or using cloud-based services, helping developers optimize performance and ensure efficient handling of traffic and workloads.
Stress testing is a software testing technique used to assess a system's reliability and security under excessive workloads and adverse conditions. Its goal is to identify the system's breaking point and evaluate how it performs under high stress.
During stress testing, the system is subjected to workloads beyond its normal capacity to uncover issues like crashes, slow response times, or unexpected behavior. Techniques include spike testing, where the workload is rapidly increased, and soak testing, which tests the system under prolonged stress to identify performance degradation over time..
Regression testing is a software testing technique used to verify that recent changes or updates to an application have not introduced new defects or caused existing features to fail. It involves rerunning previously executed test cases to ensure that the existing functionalities continue to work as expected.
This testing helps identify any unintended consequences or regressions resulting from changes, maintaining the overall quality and stability of the application. It ensures that updates do not negatively impact previously tested features.
Integration testing is a software testing technique focused on verifying the interaction and collaboration between different components or modules within a system. The goal is to ensure these components integrate smoothly, exchange data accurately, and function together without issues.
During integration testing, components are combined and tested as a group to assess their collective behavior. This helps detect potential problems, such as communication failures, data inconsistencies, or compatibility conflicts. Integration testing is crucial and can be performed at various stages, including unit, system, and acceptance testing. It ensures the software works as intended and functions harmoniously with all components.
System testing is a software testing approach that evaluates a fully integrated software system or application to verify that it works as intended and meets the specified requirements for its target environment.
During system testing, the software is tested as a complete entity, including all components, modules, and interfaces. This testing checks the software’s functionality, performance, security, and usability, focusing on how it interacts with other systems and external dependencies. Conducted after integration testing and before acceptance testing, system testing ensures that the software meets end-user requirements and resolves any defects or issues before release.
Acceptance testing is a software testing approach that assesses whether a software system meets the customer's expectations and requirements and is ready for release. It is conducted from an end-user perspective to verify that the system functions as intended and meets the specified criteria. Acceptance testing may involve both manual and automated testing techniques and can include functional and non-functional testing. Any defects found during acceptance testing are usually reported to the development team for rectification. Once all identified issues have been resolved, and the software passes acceptance testing, it is deemed suitable for release.
Exploratory testing is a dynamic software testing approach that combines test design, execution, and learning. Testers actively explore and interact with the software using their understanding of the system to uncover defects and gain insights. They design and execute tests on the fly, adapting based on feedback and system behavior. This approach is especially useful in Agile and Rapid Application Development environments where requirements may be evolving.
The main advantage of exploratory testing is its efficiency in uncovering defects. Testers can identify hidden issues, assess real-time software behavior, and make immediate observations about the system’s quality, offering valuable insights and improvements.
Ad-hoc testing is a software testing approach that involves spontaneous attempts to find defects or issues in the software without following any pre-defined Test plan. The tester relies on their experience and intuition to identify and execute tests on different parts of the software that may have defects or issues. Ad-hoc testing is often used when there is limited time available for testing or when the testing team wants to supplement scripted testing with additional testing. The primary advantage of ad-hoc testing is that it allows testers to discover defects that may be difficult to identify using scripted or formal testing methods. However, it can be challenging to manage and reproduce results, and it may be less effective in uncovering all types of defects compared to other testing methods.
Smoke testing is a type of software testing that checks whether an application's essential functions are working correctly. Its primary goal is to verify that the software build is stable enough for further testing. Smoke testing is typically performed after every new build or deployment to ensure critical features are operational, helping identify major defects early in the development cycle.
In smoke testing, a basic set of test cases is executed to check if key features are functioning as expected. If the test fails, the build is considered unstable, and no further testing can proceed until the issues are fixed. If it passes, the build is deemed stable and ready for more in-depth testing. Smoke testing is particularly useful in Agile and DevOps environments where builds are frequently released, ensuring that unstable builds are not pushed to production.
Sanity testing is a focused and quick testing technique used to verify that key features of an application work as expected after recent changes or updates. Unlike comprehensive testing, it targets only the areas affected by the changes..
Sanity testing is often performed when time is limited, helping to determine if major issues have been introduced. If the test fails, it indicates critical problems, and further testing is halted until resolved. If it passes, it confirms that the changes haven’t caused significant issues, allowing more detailed testing to continue.
The goal of sanity testing is to save time and resources by identifying major defects early. It’s especially valuable in Agile and DevOps environments, where rapid assessments are essential to prevent unstable software from being released.
A defect, or bug, refers to an issue in a software application that causes it to behave in an unintended or incorrect manner. Defects can arise at any phase of the software development process, including design, coding, testing, and deployment.
Defects can result from errors made by developers or testers, or they may occur during the integration of different software components. Their severity can range from minor cosmetic issues to critical failures that affect the functionality or security of the application.
To minimize the impact of defects, development teams use techniques such as code reviews, testing, and continuous integration to identify and fix issues early in the development cycle. This proactive approach helps reduce the cost and consequences of defects before they reach production.
The defect life cycle, or bug life cycle, describes the stages a software issue goes through until it is resolved. It begins with the New phase, where a defect is reported. In the Open phase, the development team verifies the issue and assigns it for fixing. During In Progress, the developer works on resolving the defect, and once fixed, the status changes to Fixed. The Retest phase follows, where the testing team verifies the fix and checks for new issues. Finally, the defect is Closed if it’s successfully resolved, or reopened if further work is needed. This cycle helps ensure defects are tracked and addressed efficiently.
In software development, a defect report or bug report is a vital document used to report issues or defects within a software application or system. Created by testers during the testing phase, the report typically includes a detailed description of the problem, steps to reproduce it, severity levels, environment information, and additional supporting materials like screenshots.
The development team uses the defect report to track, manage, and prioritize issues for resolution. It also helps in identifying the root cause of problems. Addressing the issues outlined in the defect report improves the software's reliability and overall quality.
A traceability matrix is a document used to track and link requirements with test cases throughout the software development lifecycle. It ensures all requirements are tested and that test cases align with those requirements. The matrix typically includes columns for the requirement, test case, and the test case status (e.g., pass, fail, or not run). It helps the development team ensure comprehensive coverage, provides visibility into project progress, and identifies any gaps or missing requirements.
A test plan is a detailed document that outlines the strategy, objectives, and methods for testing a software system. It defines the scope, required environment, resources, tasks, and timelines, and includes various testing types like functional, performance, and security testing, along with specific test cases. The main goal is to provide a roadmap for thorough testing, identifying risks and challenges and offering a framework to manage them. Collaboration between the testing and development teams ensures alignment with the software development life cycle and project requirements.
A test strategy is a high-level document that defines the approach and methodology for testing a software system. It outlines the goals, scope, resources, and constraints, and specifies the types of testing to be performed and the responsibilities of the testing team. Created early in the software development life cycle, the test strategy ensures alignment with project objectives, client needs, and industry standards, while also identifying potential risks and providing a framework for managing them.
Test plan | Test strategy |
---|---|
A comprehensive document that provides extensive information regarding the testing scope, goals, required resources, and specific tasks to be executed. | A top-level document that provides an overview of the general approach, methodology, and types of testing to be employed for a particular software application or system. |
Developed by the testing team in collaboration with the development team and other stakeholders. | Developed early in the software development life cycle, before the test plan. |
It acts as a guide for the testing procedure, ensuring thorough testing of the software application or system in all respects. | It offers guidance to the testing team, aligning testing activities with business objectives, fulfilling customer requirements, and adhering to industry standards. |
Encompasses specific information regarding the test cases, test scenarios, and test data that will be utilized throughout the testing phase. | Outlines the chosen testing approach, and the types of testing to be conducted, and clearly defines the roles and responsibilities of the testing team. |
Outlines the timelines for completion, the resources required, and the criteria for passing or failing the tests. | Identifies potential risks and issues that may arise during testing and provides a framework for managing and mitigating those risks. |
A comprehensive document utilized by the testing team to implement and oversee testing activities. | A top-level document is employed to steer the testing process, guaranteeing thorough and efficient testing coverage. |
A test environment is a configuration of hardware and software used for software testing that resembles the production environment. It includes all the necessary resources, such as hardware, software, network configurations, and others, required to perform testing on software applications or systems. The purpose of a test environment is to provide a controlled and consistent environment for testing, which helps identify and resolve issues and defects before the software is deployed into the production environment. The test environment can be hosted on-premise or in the cloud and should be planned and configured accurately to reflect the production environment. It should also be properly documented and managed to ensure consistency throughout the testing process.
Test data refers to the input data utilized to test a software application or system. It is processed by the software to verify if the expected output is obtained. Test data can come in different forms such as positive, negative, and boundary test data. Positive test data produces the anticipated output and meets the software requirements, while negative test data yields unexpected or incorrect results that violate the software requirements. On the other hand, boundary test data examines the limits of the software and is situated at the edge of the input domain.
The significance of test data lies in its ability to identify issues and defects that need to be resolved before the software is deployed in the production environment. Creating and selecting the right test data is crucial as it covers all possible scenarios and edge cases, resulting in thorough testing of the software.
Positive testing | Negative testing |
---|---|
Positive testing Verifies that the software or application behaves as expected when given the correct input. | Negative testing Verifies that the software or application responds appropriately when given incorrect input. |
It is designed to confirm that the software produces the desired output when given valid input. | It is designed to check that the software can detect and handle invalid or unexpected input. |
Aims to ensure that the software meets the functional requirements and specifications. | Aims to uncover any potential defects or flaws in the software that could lead to incorrect output or system failure. |
Helps to build confidence in the software's ability to perform its intended functions. | Helps to identify areas of weakness or vulnerabilities in the software. |
Typically performed by software developers or testers. | Typically performed by testers or quality assurance engineers. |
Features | Retesting | Regression testing |
---|---|---|
Definition | It is a testing process that validates the fixes done for a failed test case. | It is a testing process that validates that changes to the software do not cause unintended consequences on the existing features. |
Objective | To ensure that a bug is fixed correctly. | To ensure that the existing functionality is working fine after making changes. |
Execution | Executed after the bug is fixed. | Executed after the software is modified or enhanced. |
Focus | Testing focused on the specific failed test case. | Testing focused on the overall impact of changes. |
Scope | The scope of retesting is limited to the specific test cases that failed previously. | The scope of regression testing is broad, covering all impacted areas due to the changes made. |
Test cases | Executing test cases that previously failed is referred to as retesting. | Regression testing involves the execution of test cases that represent the existing functionality. |
Test results | In retesting, the expected results are already known because the test cases have failed previously. | The expected results need to be determined before executing the test cases. |
Timing | Retesting is performed in the same environment as the failed test case. | Regression testing is performed in a different environment than the failed test case. |
Importance | Retesting is important to ensure that the specific defect has been resolved. | Regression testing is important to ensure that the changes made do not impact the existing functionality. |
Outcome | The outcome of retesting is to determine if the bug is fixed correctly. | The outcome of regression testing is to identify if there are any impacts of changes on the existing functionality. |
Tools | Retesting can be performed using manual or automated testing tools. | Regression testing is mostly performed using automated testing tools. |
Test coverage is a measurement of the effectiveness of software testing, which determines the extent of the source code or system that has been tested. It gauges the percentage of code or functionality that has been executed through a set of tests. Test coverage can be measured at different levels of detail, such as function coverage, statement coverage, branch coverage, and path coverage. By analyzing test coverage, developers can identify areas of the code that have not been adequately tested, allowing them to create additional tests and enhance the overall quality of the software.
Equivalence partitioning is a software testing technique that divides input data into groups expected to behave similarly. If the system works for one input in a group, it should work for all values in that group. This technique helps identify issues like boundary errors or input validation failures by testing representative values from each group, reducing the number of test cases needed. For example, if a system accepts values between 1 and 1000, equivalence partitioning would divide it into groups such as less than 1, 1–100, 101–500, and 501–1000, creating test cases for each group to identify potential issues.
Boundary value analysis is a software testing technique that focuses on detecting issues at the boundaries of input values. It tests the boundary values themselves, as well as values just below and above them, to identify defects in edge cases. For example, for an input range of 1 to 1000, it would test values like 1, 1000, 0, 2, 999, and 1001. This approach helps uncover defects like rounding errors, truncation issues, and overflow or underflow conditions. Boundary value analysis is often used alongside equivalence partitioning for thorough input testing.
Error guessing is a software testing technique where testers use their experience and intuition to predict potential defects in the system. Testers brainstorm possible errors based on past experience or knowledge of the system, creating likely error scenarios to test. While this informal method can uncover issues that formal testing might miss, it should be used alongside other techniques for a more comprehensive approach.
Pair-wise testing is a software testing method that focuses on testing all possible combinations of input parameters in pairs. It helps identify the most likely input pairings that could cause defects, creating test cases based on these pairings to cover all combinations. This technique is useful when testing multiple input parameters where testing all combinations is impractical. By focusing on key input pairs, pair-wise testing efficiently uncovers errors while minimizing the number of test cases, saving time and resources.
Statement coverage is a white-box testing technique that measures the percentage of code statements executed during testing. It involves creating test cases to ensure each line of code is tested at least once, with coverage calculated by dividing the number of executed statements by the total number of statements. While it helps identify untested areas of code, statement coverage doesn't guarantee all possible outcomes or error-free code, so it should be used alongside other methods like functional or integration testing for comprehensive coverage.
Branch coverage is a software testing metric that measures the percentage of possible branches in a program’s code executed during testing. It helps assess testing thoroughness, as higher branch coverage indicates fewer untested paths and potentially fewer undiscovered bugs. To calculate branch coverage, tools like code coverage analyzers track which branches are executed, and the percentage is computed by dividing the number of branches tested by the total number of branches in the code. While high branch coverage suggests more comprehensive testing, it should be complemented with other methods for complete quality assurance.
Decision coverage is a testing metric that measures the percentage of decision outcomes executed during testing. A decision point occurs when the program evaluates a condition to determine the flow of execution. High decision coverage indicates that all possible outcomes have been tested, reducing the risk of undetected bugs. To calculate decision coverage, tools track which decision outcomes have been executed, and the percentage is determined by dividing the number of executed outcomes by the total possible outcomes. High decision coverage ensures thorough testing of decision-making logic in the program.
MC/DC coverage, or Modified Condition/Decision Coverage, is a more rigorous testing metric used in software engineering to assess the thoroughness of testing for a program. It is a stricter version of decision coverage that requires every condition in a decision statement to be tested, and that the decision takes different outcomes for all combinations of conditions. MC/DC coverage is particularly useful in safety-critical systems, where high reliability is crucial. To achieve MC/DC coverage, code coverage analyzers or profilers are used to track which conditions and outcomes have been executed during testing, and the percentage of MC/DC coverage can be calculated by dividing the number of evaluated decisions that meet the MC/DC criteria by the total number of evaluated decisions in the code.
Code review is a software development practice that involves reviewing and examining source code to identify defects, improve code quality and ensure adherence to coding standards. It is an essential step in the development process that aids in the early detection of faults and problems, reducing the time and expense needed to resolve them later. Code review can be conducted in different ways, such as pair programming, or through the use of code review tools. The process helps to ensure the quality, reliability, and maintainability of software projects.
In software testing, a walkthrough is a technique where a group of people scrutinize a software system, component, or process for defects, issues, or areas of improvement. The reviewers inspect various aspects of the system, such as design, functionality, user interface, architecture, and documentation, to identify potential issues that could impact the system's usability, reliability, or performance. Walkthroughs can be done at any point during the software development lifecycle and can be used for non-technical documents like user manuals or project plans. Benefits of walkthroughs include detecting defects early, reducing development costs, and enhancing software quality. Furthermore, they can identify usability issues that can lead to a better user experience.
Code inspection is a technique used in software testing that involves a detailed manual review of the source code to identify defects, errors, and vulnerabilities. Developers typically conduct the review by examining the code line-by-line for syntax errors, logic errors, security vulnerabilities, and adherence to coding standards. The goal of code inspection is to enhance the quality of the software and detect issues early in the development process. This can save time and resources that might be spent on fixing problems later. Code inspection can be time-consuming and requires a skilled team of reviewers but is effective in finding defects that automated testing tools or normal testing procedures might miss.
Software testing techniques known as static testing involve analysing or assessing a software artifact, such as requirements, design documents, or source code, without actually running it. This review process can be carried out manually, with team members providing comments, or automatically, with the use of software tools that analyse the artifact and provide feedback or reports. Static testing can take the form of code reviews, walkthroughs, inspections, or formal verification at any point of the software development lifecycle. The fundamental benefit of static testing is that it can uncover errors early in the development process, saving money and time. Static testing is used in conjunction with other testing methods, such as dynamic testing, which involves running the software.
Dynamic testing is a software testing technique where the software is run and observed in response to various inputs. Its goal is to detect and diagnose bugs or defects while the software is executing. Testers simulate actual usage scenarios and provide different inputs to check how the software responds. This type of testing includes functional testing, performance testing, security testing, and usability testing. The test cases cover all possible scenarios to determine if the software works as expected. Dynamic testing is essential in the software development lifecycle to ensure that the software meets requirements and is defect-free before release to end-users.
Verification and validation are two important terms in software engineering that are often used interchangeably, but they have different meanings and purposes.
Verification | Validation |
---|---|
The process of analysing a system or component to evaluate whether it complies with the requirements and standards stated. | Determining whether a system or component fits the needs and expectations of the client by evaluating it either during or after the development process. |
It ensures that the software is built according to the requirements and design specifications. | It ensures that the software meets the users requirements and expectations. |
It is a process-oriented approach. | It is a product-oriented approach. |
It involves activities like reviews, walkthroughs, and inspections to detect errors and defects in the software. | It involves activities like testing, acceptance testing, and user feedback to validate the software. |
It is performed before validation. | It is performed after verification |
Its objective is to identify defects and errors in the software before it is released. | Its objective is to ensure that the software satisfies the customer's needs and expectations. |
It is a static process. | It is a dynamic process. |
Its focus is on the development process. | Its focus is on the end-product. |
A test scenario and a test case are both important components of software testing. While a test scenario is a high-level description of a specific feature or functionality to be tested, a test case is a detailed set of steps to be executed to verify the expected behavior of that feature or functionality.
Test scenario | Test case | |
---|---|---|
Definition | A high-level description of a hypothetical situation or event that could occur in the system being tested. | A detailed set of steps or conditions that define a specific test scenario and determine whether the system behaves as expected. |
Specify | It is a broad statement that defines the context and objective of a particular test. | It is a specific set of inputs, actions, and expected results for a particular functionality or feature of the system. |
Uses | It is used to identify different test conditions and validate the system's functionality under different scenarios. | It is used to validate the system's behavior against a specific requirement or functionality. |
Level of detail | Less detailed and more broad in scope | Highly detailed and specific |
Inputs | Requirements documents, user stories, and use cases | Test scenarios, functional requirements, and design documents |
Outputs | Test scenarios, which are used to develop test cases | Test cases, which are executed to test the software |
Example | Test scenario for an e-commerce website: User registration | Test case for user registration: 1. Click on "Register" button 2. Fill out registration form 3. Submit registration form 4. Verify user is successfully registered |
Smoke testing | Sanity testing | |
---|---|---|
Definition | A type of non-exhaustive testing that checks whether the most critical functions of the software work without major issues | A type of selective testing that checks whether the bugs have been fixed after the build/release |
Purpose | To ensure that the build is stable enough for further testing | To ensure that the specific changes/fixes made in the build have been tested and are working as expected |
Scope | A broad-level testing approach that covers all major functionalities | A narrow and focused testing approach that covers specific changes/fixes |
Execution time | Executed at the beginning of the testing cycle | Executed after the build is stabilized, just before the regression testing |
Test criteria | Test only critical functionalities, major features, and business-critical scenarios | Test only specific changes/fixes made in the build, |
Test depth | Shallow and non-exhaustive testing that focuses on major functionalities | Deep and exhaustive testing that focuses on specific changes/fixes |
Result | checks to see if the build is stable enough for additional testing. | Identifies whether or not the build's unique modifications and fixes are functioning as intended. |
Exploratory testing is an approach where testers explore the software without relying on pre-written test cases. Using their knowledge and experience, testers identify defects, usability issues, and potential risks in an unscripted manner. They focus on high-risk areas, create a rough test plan, and document findings as they go. This method helps uncover issues that scripted tests might miss, making it crucial for ensuring software quality before release.
Boundary value analysis is a testing technique focused on evaluating the limits of input values for a system. The goal is to test how the system handles maximum, minimum, and edge values. Test cases are created around these boundary values to uncover defects that might occur at these critical points. This approach ensures the system behaves correctly at the input range's boundaries, which is especially useful for numerical or mathematical systems but can also apply to software handling user or external data input.
Equivalence partitioning is a testing technique that divides input data into groups, or equivalence classes, where each class is expected to produce the same output or behavior. This simplifies test case creation, as only one test case is needed for each class, reducing the number of test cases while ensuring comprehensive coverage. The steps for using equivalence partitioning include identifying input data, grouping it into equivalence classes, developing test cases for each class, executing the test cases, and reporting any defects found for resolution. This approach helps uncover defects in specific equivalence classes efficiently.
A defect, or software bug, occurs when the software behaves unexpectedly or produces incorrect results, typically identified during testing or after release. An issue, on the other hand, refers to any problem or concern related to the software that requires attention but isn't necessarily a defect. Issues can include incomplete features, performance problems, usability concerns, compatibility issues, or other aspects needing improvement. These can arise at any stage of the software development life cycle, from planning and development to testing and post-release.
Defect priority is a concept in software testing that determines how urgently a defect should be addressed, based on its severity and impact on the system. It is influenced by factors such as severity, frequency, business impact, and customer impact. High-severity defects, frequent issues, those affecting critical business processes, or those disrupting the user experience are given higher priority. Defects are classified as high, medium, or low priority, with high-priority defects resolved first. This approach ensures that the most critical issues are addressed promptly, minimizing risks and disruptions to the system and users.
Defect severity refers to the degree of impact a defect has on the system's normal functioning. It is assessed based on how much it affects the system's ability to meet its requirements. Severity levels typically include critical, major, minor, and cosmetic. Critical defects cause system crashes or significant data loss, requiring immediate attention. Major defects affect system functionality and prevent important tasks. Minor defects cause inconvenience but do not affect key functionality. Cosmetic defects affect appearance or formatting without impacting functionality. Severity is determined by factors such as impact on performance, affected users, frequency, and the importance of the functionality. Critical defects are addressed first, followed by major, minor, and cosmetic issues.
A test log is a vital record that tracks the activities performed during software testing. It documents events, actions, and results in chronological order, including details like executed test cases, test outcomes, defects identified, corrective actions taken, and specifics such as the test environment and data used. Test logs serve various purposes, including documentation, analysis, reporting, and debugging. They help team members monitor progress, report test coverage, and communicate defects. Additionally, they provide a reference for troubleshooting and act as a historical record for compliance and auditing.
A test report is a document that summarizes the results of the software testing process, including detailed information about the application tested, executed test cases, and their outcomes. It typically covers a test plan summary, test execution summary, and defect summary, along with detailed test results, recommendations for improvement, and a conclusion. The report helps communicate the effectiveness of testing, identifies defects and their status, and provides insights for enhancing the software, including any lessons learned and areas for further improvement.
A test summary report is a document that summarizes the testing activities performed on a project or system, typically created at the end of the testing phase. It includes an introduction outlining testing objectives, a description of the test environment (hardware, software, and resources used), and the test strategy. The report also covers test execution details, a summary of results (pass/fail status and defects found), a conclusion and recommendations for system improvements, and appendices containing additional information like test cases, defect logs, and performance reports. This document provides a comprehensive overview of the testing process and its outcomes.
A test script is a set of instructions written in a programming language to automate testing, replicating user interactions with the system to evaluate its functionality, performance, and reliability. It includes input values, expected results, and actual outcomes, and is written in languages like Python, Java, or Ruby for repeatability and consistency. The major steps in creating a test script include script development, execution, result analysis, and reporting. First, the test script is developed with specific test cases, then executed either manually or automatically. After execution, the results are analyzed, and any issues found are reported to the development team for resolution.
A Test bed is a controlled environment, either physical or virtual, used to test and validate software, hardware, or processes before deployment. For example, when testing software, the test bed includes the operating system, browser, and other required software. It helps evaluate performance, functionality, compatibility, and reliability under real-world conditions. The process involves defining objectives, setting up the necessary equipment and software, creating test cases, and analyzing results. If necessary, the test bed is adjusted, and testing continues until the desired performance is achieved. Careful planning and execution are essential for successful testing.
A Test harness is a group of software tools used to automate the testing of software systems or applications. It enables for test execution, data collection and analysis, and reporting on overall test coverage and efficacy. The harness may include tools for setting test environments, generating test data, and evaluating test findings. Debugging and profiling tools may also be included to identify defects in the software. Test harnesses are commonly used in software development and testing processes, particularly in Agile and DevOps techniques, where automated testing is critical to the CI/CD pipeline. They contribute to the comprehensive testing, dependability, and high quality of software products.
It is commonly used to do various forms of testing, including unit testing, integration testing, system testing, and acceptance testing. The harness can be adjusted to simulate the actual production environment, ensuring that testing are carried out under realistic conditions.
Non-functional testing is a sort of software testing that assesses the performance, dependability, usability, and other non-functional elements of a system or application.
Unlike functional testing which focuses on verifying specific functional requirements, non-functional testing assesses how well the software meets quality attributes or characteristics that are not directly tied to its intended functionality. The aim of this testing is to measure and validate the software's behavior in terms of factors such as performance, scalability, security, usability, compatibility, reliability, and maintainability. It ensures that the software not only functions correctly but also performs optimally and provides a satisfactory user experience.
Aspects | Black-box testing | Grey-box testing |
---|---|---|
Knowledge of system | It is a method of software testing where the tester has no knowledge of the internal workings or code of the software system being tested. | It is a method of software testing where the tester has partial knowledge of the internal workings or code of the software system being tested. |
Test coverage | Focuses on Functional Testing and non-functional aspects such as performance and security | Can include Functional testing and white-box testing techniques |
Test design | Test cases are designed based on the system requirements and expected behavior | Test cases are designed based on understanding of the internal workings of the |
Access | In this testing tester only has access to the inputs and outputs of the software system and tests the system based on the specifications and requirements of the system. | Here, the tester has access to some internal information about the system, such as the database schema or internal data flows, which can be used to design more efficient and targeted tests. |
Purpose | The purpose of black-box testing is to verify that the system is functioning correctly, without any knowledge of how it is implemented. | Grey-box testing can be used to identify defects that may not be visible through black-box testing, while still maintaining an external perspective. |
Unit testing and integration testing are two key stages in the software development process. Unit testing involves testing individual components or units of an application in isolation to ensure they function correctly according to the specified requirements, typically performed by developers and often automated. Integration testing follows unit testing and focuses on verifying how different components work together within the system, ensuring their interaction meets overall system requirements. Integration testing can occur at various levels, such as component, subsystem, and system integration, before progressing to system testing.
Load testing | Stress testing |
---|---|
Testing the system's ability to handle normal and expected user traffic, by simulating the expected workload on the system. | Testing the system's ability to handle extreme conditions and unexpected user traffic, by simulating the workload beyond the expected capacity of the system. |
Checks if the system can handle the expected volume of users or transactions without performance degradation or failures. | Checks if the system can handle the expected volume of users or transactions without performance degradation or failures. |
Load testing is typically performed to determine the performance and scalability of the system, and to identify bottlenecks or issues under normal usage conditions. | Stress testing is performed to determine the system's stability, and to identify how it handles high load or resource constraints, and whether it fails gracefully or crashes under extreme conditions. |
Load testing is usually performed using a predefined workload, with a gradual increase in the number of users or transactions to reach the expected capacity of the system. | Stress testing is usually performed using a sudden and large increase in the workload to test the system's limits and observe how it reacts under stress. |
The purpose of load testing is to discover performance issues and bottlenecks under expected usage scenarios and optimize the system for maximum throughput and efficiency. | Stress testing is used to determine a system's breaking point, confirm that it can recover gracefully from errors or crashes, and guarantee high availability and resilience. |
Load testing is often used for testing web and mobile applications, database systems, and network infrastructure. | Stress testing is often used for testing critical systems such as air traffic control, financial systems, and healthcare systems. |
Parameter | Acceptance Testing | Regression testing |
---|---|---|
Define | acceptance testing refers to the process of using automated tests to verify that a software application meets the requirements and expectations of the end-users. | Regression testing is a type of software testing that involves verifying that changes made to a software application do not have any unintended side effects on its existing functionality. |
Purpose | The purpose of acceptance testing in Selenium is to validate that the software application meets the requirements and specifications set forth by the stakeholders, and that it provides a good user experience | The purpose of regression testing is to ensure that the software application continues to work as expected after modifications have been made to it. |
Timing | It is usually conducted towards the end of the software development life cycle. | It can be conducted after every modification or enhancement made in the software. |
Execution | It is performed by end-users or business analysts who are not part of the development team | It is performed by the development team or QA team. |
Results | The results determined that whether the software is ready for delivery to the customer or end-user. | The results ensure that the changes made in the software have not impacted the existing functionality. |
Test cases | Test cases are based on user stories, requirements, and business use cases. | Test cases are based on the existing functionalities and are written to check the impact of the changes made in the software. |
Dynamic testing and static testing are two different types of software testing techniques.
Dynamic testing is a software testing technique that involves executing the code or software application to identify defects or errors, It is also known as validation testing or live testing whereas static testing is a testing technique that examines the code or software application without actually executing it. It is also known as dry-run testing or verification testing.
Parameters | Dynamic testing | Static testing |
---|---|---|
Purpose | To detect defects or errors that are discoverable only through code execution. | To uncover defects or errors in the code prior to its execution. |
Performed | Once the software development is complete. | In the initial phases of the development cycle. |
Techniques | Executing the software application using various test cases. | Conducting manual or automated code or software application review and analysis. |
Types of errors detected | Issues such as bugs, errors, and performance limitations. | Coding errors, syntax errors, and logical errors. |
A requirement and a specification are two different documents that serve different purposes in the software development lifecycle.
Requirement | Specification | |
---|---|---|
Definition | A statement that describes what the software should do or how it should behave. | A detailed description of how the software should be designed and implemented. |
Purpose | Captures the needs and expectations of stakeholders. | Guides the development and testing process. |
Level of detail | High-level and not specific to implementation details. | Detailed and specific to the implementation of the software. |
Content | It outlines both the functional and non-functional aspects of the software's requirements. | Describes the architecture, interface design, data structures, algorithms, and testing criteria of the software. |
Use | Used to validate the functionality of the software. | Used to ensure that the software is designed and implemented correctly. |
Creation | Created during the requirements gathering phase. | Created after the requirements have been defined. |
A test closure report is created at the end of a testing phase or project to summarize testing activities, outcomes, and recommendations for future improvements. It typically includes an Introduction outlining the objectives and scope, a summary of Testing Activities such as test design, execution, and management, and a Test Results section detailing the number of test cases executed, passed, failed, blocked, and deferred, along with any issues or defects found. It also provides Test Metrics to evaluate testing effectiveness, such as test coverage and defect density, and lists Recommendations for process improvements. The Conclusion summarizes key results and insights from the testing phase.
A defect management tool is software used by development and testing teams to track and manage defects (bugs or issues) discovered during the testing phase. It provides a centralized platform for documenting, prioritizing, and resolving defects. Key features of defect management tools include defect tracking, which monitors the lifecycle of defects; categorization and prioritization, helping teams address critical defects first; collaboration and communication, allowing teams to coordinate on defect resolution; and reporting and analytics, which generate insights into defect trends and metrics to improve the testing process.
Functional testing is a software testing approach focused on verifying a system’s functional requirements and behavior. Its goal is to ensure the software meets specified standards, aligns with user expectations, and performs as intended. Testers validate various features, including input handling, data processing, UI interactions, and system responses. Functional testing can be done manually or with automation and includes methodologies like unit, integration, system, acceptance, and regression testing. Each method targets different software levels to confirm all requirements are met and defects are identified.
Exploratory testing is essential because it allows testers to discover issues that scripted tests may overlook, such as unexpected user behaviors, rare edge cases, or usability issues. It helps testers think beyond predefined scenarios, providing flexibility to explore areas that may require more in-depth investigation, ultimately improving software quality.
A test case is a specific set of actions, conditions, and expected outcomes used to verify a particular feature or functionality of the software. For example, a test case for logging into an application might include steps for entering a valid username and password, clicking "Login," and verifying that the user is redirected to the homepage.
A test scenario, on the other hand, is a high-level description of a situation that the tester wants to validate. It focuses on functionality from an end-user perspective. For example, a test scenario might be “Verify that the user can successfully log in and access their account.”
White-box testing and grey-box testing are two types of software testing techniques that are used to assess the functionality and quality of software systems. Here is the differences between them :
White-box testing | Grey-box testing |
---|---|
The tester has full knowledge of the internal workings of the software system, including its code, architecture, and implementation details. | The tester has partial knowledge of the internal workings of the software system, which may include some information about its architecture, design, or implementation, but not the complete source code. |
White-box testing's goals include finding and fixing software code flaws as well as making sure the software system satisfies all functional and performance criteria. | In order to discover potential problems with the software system's functionality and performance, grey-box testing simulates how the software system would behave in real-world situations. |
White-box testing is a type of structural testing that is used to test the internal structure and design of the software system. | The objective of grey-box testing is to simulate the behavior of the software system under real-world conditions and to identify potential issues related to its functionality and performance. |
White-box testing is useful for testing complex software systems where a deep understanding of the internal workings of the system is necessary. | Grey-box testing is useful for testing software systems where a partial understanding of the internal workings of the system is sufficient. |
Examples of white-box testing techniques include code coverage analysis, path testing, and statement testing. | Examples of grey-box testing techniques include data-driven testing, regression testing, and performance testing. |
In a software development team, a test manager oversees the testing process to ensure the software meets quality standards. This includes creating test strategies and plans, managing the testing team, collaborating with stakeholders, and monitoring testing progress. The test manager also enforces quality standards and maintains comprehensive records of testing activities, which are essential for tracking progress, identifying issues, and aligning testing with project goals. Ultimately, the test manager ensures the delivery of a high-quality software product by leading the testing process.
The role of a test lead in a software development team is crucial for maintaining software quality. The test lead oversees the testing process and collaborates with the development team to ensure the software meets required standards. Responsibilities include creating a comprehensive test plan, executing tests, overseeing the development of automated test scripts, managing defects, communicating progress to stakeholders, and guiding the testing team. Ultimately, the test lead ensures an efficient development process by delivering high-quality software.
Manual Testing Interview Questions
Note : We have compiled all Manual Testing Interview Questions List for you in a template format. Feel free to comment on it. Check it out now!!
A test engineer plays a crucial role in ensuring that a software product is thoroughly tested and meets quality standards. They collaborate with developers and other team members to design, develop, and execute test plans and cases, using various techniques and tools. After executing tests, test engineers analyze results, identify defects, and report them to the development team. They work closely with developers, project managers, and stakeholders to align testing efforts with project goals, ensuring the software meets all quality standards before release.
Test metrics and test measurement are related concepts in software testing, but there is a subtle difference between them.
Test metrics | Test measurement |
---|---|
Test metrics are quantitative values used to measure the effectiveness of the testing process. | Test measurement is the process of collecting and analyzing data to determine the effectiveness of the testing process. |
Test metrics are quantitative values that provide insights into the quality of the testing process, including metrics like defect count and test coverage. | Test measurement entails gathering data to assess the efficiency and effectiveness of the testing process, such as measuring the testing duration and the number of identified defects. |
Test metrics provide a snapshot of the testing process at a specific point in time. | Test measurement provides ongoing feedback on the effectiveness of the testing process throughout the software development lifecycle. |
Test metrics are used to track progress and identify areas for improvement in the testing process. | Test measurement helps to identify areas for improvement in the testing process by analyzing data and identifying trends. |
Defect density, test coverage, and test execution time are a few examples of test metrics. | Examples of test measurement include defect trend analysis, test progress tracking, and test effectiveness analysis. |
A test case template is a structured document that helps standardize the creation and documentation of test cases, ensuring consistency and thoroughness across the testing process. It typically includes sections for a unique test case ID, a descriptive name, the objective of the test, and the specific scenario being tested. The template also outlines the test steps, expected results, and actual outcomes, with a pass/fail status to indicate whether the test succeeded. Additionally, it provides space for documenting any defects found during testing, as well as any relevant comments or observations. By following a test case template, teams can ensure that all critical information is captured, making test execution more efficient and transparent.
A test scenario and a test suite are both important components of software testing. Here is differences between them :
Test scenario | Test suite |
---|---|
A test scenario is a single test condition or test case. | A test suite is a collection of test scenarios or test cases. |
Test scenarios are designed to test specific functionalities or features of the system or application. | Test suites are designed to test a group of functionalities or features that are related to each other. |
Outlines the steps to be executed and the expected results for a particular use case or scenario. | Consists of multiple test scenarios grouped together for a specific purpose. |
Created based on the software requirements | Test suites are created based on the software test plan or project requirements. |
Designed to identify defects or errors in the software and ensure that it meets the specified requirements. | Designed to validate the overall quality of the software and identify any issues or defects that may have been missed during individual testing. |
Typically executed individually | Executed as a group |
Used to ensure that all possible test cases are covered | Used to ensure that all components of the software are tested thoroughly. |
A test case and a test script are both important components of software testing, but they differ in their level of detail and purpose.
Test case | Test script |
---|---|
A specific set of instructions or conditions used to test a particular aspect of the software | A detailed set of instructions written in a programming or scripting language to automate the execution of a test case |
Typically includes the steps to be executed, the expected results, and any pre- or post-conditions required for the test to be successful | Includes commands that simulate user actions or input |
Designed to validate that the software meets the specified requirements and identify any defects or errors that may exist | Used to automate testing and reduce manual effort |
Typically created by a manual tester | Typically created by an automation engineer. |
Can be executed manually or through automation | Only executed through automation |
Primarily used for functional and regression testing | Primarily used for regression and performance testing |
Helps identify defects or errors in the software | Helps reduce the time and effort required for testing |
The test log and test report have distinct purposes and are utilized at varying phases in software testing.
Test log | Test report |
---|---|
A test log is a detailed record of all the testing activities and results executed during the testing phase. | A test report summarizes the testing activities and results, including recommendations and conclusions drawn from the testing phase. |
Includes details such as the date and time of the test, the tester's name, the test scenario, the test outcome, any defects found, and any other relevant information. | The test report comprises high-level information regarding the testing phase, such as the testing objectives, testing scope, testing approach, and testing outcomes. |
The test log keeps a consideration of every testing activity in chronological order and can be used later to monitor how the testing phase is progressing. | The test report comprises high-level information regarding the testing phase, such as the testing objectives, testing scope, testing approach, and testing outcomes. |
Used to track the progress of testing and provide documentation of completed testing. | Used to inform stakeholders such as project managers, developers, and customers on the outcomes of testing. |
It assists in the identification of patterns, trends, and difficulties that may be used to improve the testing process. | It assists stakeholders in immediately understanding the testing results and making informed decisions. |
QA teams, developers, and testers frequently employ this technique. | Project managers, programmers, and clients typically use it. |
A requirement and a user story are two different concepts in software development. Here are the differences between them :
Requirements | User story |
---|---|
Defines a specific feature or functionality that the software should have | Describes a specific user need or goal that the software should fulfill |
Typically written in a formal format, such as a document or a specification | Typically written in an informal format, such as a brief narrative or a card |
Usually defined by stakeholders, such as product owners or business analysts | Usually defined collaboratively by the development team, product owner, and stakeholders |
Frequently focuses on the software's technical components. | It frequently focuses on the needs and end-user experience |
Usually includes a set of acceptance criteria that must be met for the requirement to be considered complete | Usually includes a set of acceptance criteria that must be met the user story to be considered complete |
It is frequently applied in conventional, plan-driven development techniques | Frequently used in agile development approaches such as Scrum or Kanban. |
Can be more rigid and less flexible to change | Can be more adaptable and subject to change based on user feedback |
Can be more difficult to understand for non-technical stakeholders | Can be easier to understand for non-technical stakeholders, as they are written in a more user-friendly and accessible format |
A test bed matrix is a document that defines the hardware, software, and network configurations for testing a software system. It serves as a planning tool to ensure that all possible combinations of environments and configurations are covered during testing.
The purpose of a test bed matrix is to document the specific configurations to be used for testing, ensuring the software performs correctly in various scenarios. By testing multiple combinations, teams improve test coverage and reduce risks by identifying potential flaws that may go unnoticed in a single configuration. Additionally, it helps test the software efficiently, saving time and resources, and improving the chances of delivering the software on schedule and within budget.
A defect in software testing is a flaw that causes unintended behavior, often due to coding errors, miscommunication, or design mistakes. A failure occurs when the software does not meet expected outcomes, representing the manifestation of the defect.
For example, if a calculator is designed to multiply but performs division instead, it's a defect. If a user attempts multiplication but gets division, it’s a failure.
A test objective is a specific, measurable statement detailing what a particular test aims to accomplish, derived from requirements or user stories. It focuses on what aspect of the system is tested and the expected outcome, guiding the testing process to ensure efficiency.
A test goal is a broader, higher-level statement describing the overall aim of the testing effort. It communicates the objectives and priorities to stakeholders and includes broader aspects such as the quality of the software, the methodology used, and testing timelines or budget.
In software testing, a test approach and a test methodology are often used interchangeably, but they have different meanings.
A defect closure report is a summary document created after resolving defects in software testing. It includes key details such as the defect's unique ID, description, severity, and root cause. The report outlines the resolution steps taken, such as code changes or updates, and the testing conducted to verify the fix. It also records the results of the verification process, including any newly discovered defects. The report concludes with the closure date, signifying that the defect has been resolved and is no longer a concern. This ensures transparency and provides a clear record for stakeholders.
A test plan is a key document in manual testing that outlines the approach, scope, objectives, and activities for ensuring software quality. It defines the testing objectives, environment, tools, and test cases, along with procedures and techniques. The plan also assigns roles and responsibilities to team members. A well-crafted test plan ensures a systematic and efficient testing process, reducing defects, promoting consistency, and enabling progress tracking and reporting.
Black box testing and White box testing are two different software testing methodologies that differ in their approach to testing. The main difference between them lies in the level of knowledge of the internal workings of the software application being tested.
Here are some key differences between black box testing and white box testing:
Black box testing | White box testing |
---|---|
Based on external expectations | Based on internal structure and design |
Focuses on functional requirements | Focuses on code structure, logic, and implementation |
Does not require knowledge of internal code | Requires knowledge of internal code and implementation |
Test from the end user perspective | Test from the developer perspective |
Test cases are driven from the specifications , requirement or use cases | Test cases are driven from source code, design documents, or architectural diagrams |
Emphasize on the software behavior or functionality | Emphasize on the software code quality and structure |
Usually performed by independent tester | Usually performed by developers. |
Less time | More time |
Usability testing and user acceptance testing (UAT) are two different types of testing in software development. The main differences between these two types of testing are explained below:
Usability testing | Acceptance testing |
---|---|
This test evaluates the usability and overall user experience of a software application. | Checks whether the software application fits the end-users' expectations and needs. |
Determines how successfully the intended audience can use the software product. | Determines whether the software is suitable for the users |
A process that takes place during the design and development stages of the software development lifecycle | Carried out throughout the testing and acceptance stages of the software development lifecycle |
Testing a wide range of user interactions with the software application, including navigation, user interface, and general functioning | Involves evaluating a software program against a set of acceptance criteria that have been determined in advance. |
Usually conducted with a small group of representative users | Usually conducted with a larger group of end-users or stakeholders |
Involves collecting qualitative and quantitative data through various testing techniques such as surveys, interviews, and observation | Involves validating the software application against specific user requirements or user stories |
Depending on the testing objectives, it can be performed in a lab or in the field. | Often carried out in a regulated testing environment |
Results can be used to enhance the software application's user interface and user experience. | Results can be utilized to confirm whether the software application satisfies the demands and expectations of the end users. |
Test estimation is essential in software testing because it assists project managers in planning and allocating resources, effectively budgeting, and estimating the time required to perform testing operations. It ensures that the testing process is appropriately managed, that risks are detected, and that the expectations of stakeholders are met. Accurate test estimation aids in the efficient allocation of resources, time management, cost management, risk management, and stakeholder management. It enables project managers to make informed decisions, prioritise testing operations, and assure project completion on schedule and under budget.
Test reporting is crucial in software testing as it enhances communication, documentation, and transparency throughout the testing process. It allows the testing team to share progress, results, and discovered defects with stakeholders, ensuring everyone is aligned. The report serves as a detailed record of test cases executed, environments used, and outcomes, providing a foundation for future analysis. It supports informed decision-making by highlighting critical issues like defect severity and release readiness, and promotes continuous improvement by identifying patterns or areas for enhancement in the testing approach. Effective test reporting helps ensure quality and supports project success.
Dynamic testing and manual testing are both types of software testing, but they differ in their approach and methodology. Here is the differences between dynamic testing and manual testing:
Aspect | Dynamic testing | Manual testing |
---|---|---|
Definition | Testing the software during runtime by executing the code. | Testing the software manually by a human tester. |
Automation | Can be automated or manual | Always manual |
Types of test | Includes functional, performance, security, and usability testing | Includes functional, regression, and user acceptance testing |
Execution | Uses tools and software to simulate and emulate real-world scenarios | Relies on human testers to follow test scripts and execute test cases |
Accuracy | Highly accurate and replicable | May vary based on the human tester's skills and experience |
Speed | Can be faster due to automation and repeatable test cases | Can be slower due to the need for human intervention and manual test execution |
Test coverage | It is capable of addressing a wide array of scenarios and testing scenarios. | limited by the capacity along with the expertise of the human tester |
Scope of testing | Can test complex scenarios and simulate real-world usage | Limited to the test cases specified in the test plan |
Cost | Can be more cost-effective due to automation and faster execution | May be more expensive due to the need for manual labor and time-consuming execution |
Debugging | Can detect and identify defects more quickly and efficiently | May require more time and effort to identify and resolve defects |
Functional testing and regression testing are both vital in software testing but differ in focus. Functional testing ensures that the software’s features work as expected by validating individual functions against defined requirements. It is typically performed to check if the system behaves as intended during or before the development phase. On the other hand, regression testing ensures that recent code changes, such as bug fixes or new features, do not negatively affect existing functionality. It involves re-executing test cases to check the stability of the entire system after modifications, often using automation to speed up the process.
A traceability matrix is a vital tool in software testing that ensures comprehensive coverage and alignment between requirements and test cases. It ensures that every requirement is tested, preventing untested requirements and minimizing risks. The matrix also facilitates defect management by linking defects to specific requirements, making it easier to track and analyze issues. It aids in managing changes to requirements, ensuring the test suite is updated when necessary. Additionally, it helps in test case management by mapping test cases to requirements and eliminating unnecessary tests. Lastly, it supports compliance by demonstrating that all requirements have been thoroughly tested, offering transparency in the testing process.
Regression testing is essential for verifying that fixes or new changes have not introduced new defects, ensuring that previously resolved issues remain fixed. Test coverage plays a crucial role in this process, as it determines how much of the system's functionality is tested by the test cases. Higher test coverage ensures more thorough testing, increasing the chances of identifying defects.
Comprehensive test coverage is vital for validating that all parts of the system, including those affected by recent changes, continue to function properly. It helps testers identify areas needing additional tests and enhances defect detection, allowing issues to be resolved before they become significant problems.
A test plan is a critical document that outlines the testing activities' scope, objectives, and approach, including regression testing. A well-defined test plan for regression testing should include the areas of the software application to be tested, the required hardware and software configurations, the testing techniques and tools to be used, the test cases to be executed, the regression test suite, and the testing schedule, timelines, and milestones. The test plan ensures that the testing process is thorough, efficient, and cost-effective.
Test execution and test evaluation are key stages in the software testing process. Test execution is the phase where test cases are actually run on the software. It involves setting up the test environment, executing the tests, recording the results, and documenting any defects found. The main goal is to detect errors, inconsistencies, or unexpected behavior in the software.
Test evaluation, however, occurs after test execution. It focuses on analyzing the results of the tests, reviewing defect reports, and assessing the overall quality of the software. The objective is to determine whether the software meets the requirements and is ready for release. This phase involves decision-making on whether to approve the release, make fixes, or perform additional testing.
Test automation uses tools and scripts to automate repetitive, time-consuming tasks, improving efficiency, precision, and speeding up the testing process. It helps detect defects early, saving costs, and ensures consistent test execution with more accurate results. Automation also reduces time-to-market, giving companies a competitive edge, and lowers defect correction costs.
Test Plan | Test summary reports | |
---|---|---|
Purpose | Outlines the approach, scope, objectives, and activities of testing. | Provides a summary of the testing activities, results, and metrics after the completion of testing. |
Define | Defines what will be tested, the features, functions, and components to be tested, and the test environment. | Summarizes the testing effort, including the features, functions, and components tested, and the test environment used. |
contents | Test objectives, test strategies, test schedule, test deliverables, test environment requirements, test entry/exit criteria, and risks and contingencies. | Overview of the testing performed, test coverage, test results, defects found and fixed, and recommendations. |
Audience | Testing team members, project stakeholders, and other relevant parties involved in the testing process. | Project stakeholders, management, development team, and other stakeholders are interested in the testing outcomes. |
Timing | Created before the start of testing as a planning document. | Created after the completion of testing as a summary and evaluation document. |
Focus | Emphasizes on the approach, strategy, and details of the testing activities to be performed. | Emphasizes the testing outcomes, metrics, and recommendations based on the testing results. |
Documentation | Provides guidelines and instructions for testers to conduct the testing process. | Provides a summary and evaluation of the testing process, outcomes, and recommendations. |
A test environment matrix outlines the hardware, software, network, and other components needed for various test environments. It includes details like environment names, configurations, network setups, test data, dependencies, pre-conditions, and maintenance information.
Used for planning and setting up test environments, the matrix ensures consistent configurations, aids collaboration, and supports scalability. It improves testing efficiency and reliability by providing a structured overview of necessary environments for controlled testing processes.
Test case | Test suite | |
---|---|---|
Defination | A specific set of inputs, preconditions, and expected outputs for testing a particular functionality or scenario. | A collection or group of test cases that are executed together as a unit. |
Purpose | To validate a specific requirement or functionality of the software. | To validate multiple functionalities or test scenarios as a whole. |
Scope | Focuses on a single test scenario or functionality. | Encompasses multiple test cases or scenarios. |
Granularity | Granular level of testing, addressing specific scenarios or conditions. | Broad level of testing, combining various test cases to achieve a larger objective. |
Management | Typically managed and maintained individually. | Managed and maintained as a unified entity. |
Reusablities | Can be reused across multiple test suites or projects. | Can be reused across different test runs or iterations. |
ExecutionTime | Usually executed quickly, within a short duration. | Execution time varies depending on the number of test cases in the suite. |
Reporting | Results reported individually for each test case. | Results reported collectively for the entire test suite. |
A test case is a methodical procedure to check if a software feature is working correctly. It involves executing steps to validate the application's behavior under different conditions. Developing a test case requires identifying its objective, inputs, expected outcome, and the steps the tester will take. Additional notes can also be included. For example, a test case for login functionality would verify that a user can log in with valid credentials and be redirected to the homepage.
Manual testing involves testers executing predefined test cases to detect faults and provide feedback, though it can be labor-intensive and time-consuming. Automated testing uses tools to run test cases automatically, excelling in tasks like performance, regression, and load testing. It is faster and more efficient but requires scripting knowledge.
Both manual and automated testing have their advantages. Manual testing is ideal for user experience and exploratory testing, while automation is better for repetitive tasks. The choice between them depends on project requirements, resources, and timelines.
Testing is essential in software development because it identifies errors and issues early in the development process, allowing them to be rectified before the product is released to the market. Additionally, testing contributes to the enhancement of the software's overall quality and dependability, which may lead to more satisfied and steadfast customers. By identifying flaws early and preventing the need for expensive repair and maintenance later on, testing can also assist to lower the overall cost of software development. However, testing is important for ensuring that the software product complies with the needs and criteria specified by the client or end user, which is crucial for producing a successful product.
The Test Plan document provides a comprehensive overview of the testing strategy, tactics, and activities for a software development project. It outlines the scope, objectives, and timelines of testing, as well as the roles and responsibilities of the testing team. The document also includes details on the test environment, test data, tools, and test cases to ensure the software meets the required quality standards. Additionally, it serves as a communication tool between the testing team and other stakeholders, such as project managers, developers, and business analysts, ensuring alignment on the testing approach.
Regression testing ensures that changes to an application or system haven't introduced new bugs or disrupted existing functionality. It involves re-running test cases previously executed on the system to confirm it still performs as expected after modifications, such as bug fixes, enhancements, or new features. Performed during the software testing phase, regression testing helps identify unintended side effects that could affect system functionality. It can be automated or manual and is crucial for maintaining system reliability, stability, and quality over time.
Exploratory testing is an agile approach where testers design and execute test cases while exploring the software. It is ideal for new or complex systems where traditional scripted testing may fall short. Unlike traditional testing, it doesn't rely on predefined plans or scripts and leverages the intuition and creativity of experienced testers to identify defects. Its primary goal is to quickly find issues, and it can be used at any stage of the development life cycle, especially during early development stages when requirements are unclear or evolving. Exploratory testing can complement scripted testing for more comprehensive coverage.
Black box testing is a method in software testing where testers evaluate a system’s functionality without any knowledge of its internal code or structure, focusing instead on inputs and expected outputs. By simulating real-world usage, it ensures the software meets functional requirements and behaves as expected for users. Techniques used in black box testing include equivalence partitioning, which divides input data into similar behavior classes; boundary value analysis, focusing on edge cases; decision table testing for complex decision logic; state transition testing to evaluate behavior changes; and use case testing for real-world scenarios. While effective at identifying functional defects, black box testing does not address issues in the software’s internal structure, which are critical for debugging and maintenance.
White box testing involves analyzing the internal structure and workings of a software application to confirm its functionality. Also known as structural or transparent box testing, its main objective is to examine the code, architecture, and design to ensure compliance with quality standards. Testers, typically familiar with the source code, use techniques like statement coverage, branch coverage, path coverage, and condition coverage to thoroughly test all parts of the code. The process includes test planning, environment setup, test case execution, and debugging to identify flaws and areas for improvement.
Equivalence partitioning and boundary value analysis help streamline testing by focusing on representative and edge values. Equivalence partitioning divides input data into groups that should behave similarly, so only a few test cases per group are needed. Boundary value analysis then targets the edges of these groups, like 1 and 100 for a range of 1-100, ensuring the system handles boundary cases correctly. Together, these methods reduce the number of test cases while enhancing defect detection.
In a software development project, testers ensure that the software functions as intended and meets all requirements. They collaborate with the development team to create test plans and cases that cover all functionalities. Testers execute these tests, document results, and report any issues. They may also conduct non-functional testing, such as performance, security, and usability, to ensure the software works well under various conditions. The tester’s role is crucial in ensuring high-quality software that meets user needs and is free of defects, preventing customer dissatisfaction or harm.
In software testing, severity and priority are two different attributes that are used to classify defects.
Attributes | Severity | Priority |
---|---|---|
Definition | The extent of impact that a defect has on the system' functionality | The level of urgency in fixing a defect |
Measures | It measures how severe the problem is and how it affects the user or the system | It measures how important the defect is and how soon it needs to be fixed |
Importance | Helps to determine the severity of the issue, the extent of testing required, and the impact on the user experience | Helps to prioritize defects based on their urgency, allocate resources, and meet users' needs |
Decision making | Determines how much attention a defect requires and how much effort is required to fix it | Determines the order in which defects should be addressed, based on their impact and urgency, and the available resources |
Relationship | Severity is independent of priority | Priority depends on severity but also takes into account other factors such as the users' needs and the impact on the business |
In a software development project, testers ensure that the software functions as intended and meets all requirements. They collaborate with the development team to create test plans and cases that cover all functionalities. Testers execute these tests, document results, and report any issues. They may also conduct non-functional testing, such as performance, security, and usability, to ensure the software works well under various conditions. The tester’s role is crucial in ensuring high-quality software that meets user needs and is free of defects, preventing customer dissatisfaction or harm.
A traceability matrix is a project management tool used to ensure all requirements are met by mapping business, functional, and design requirements. It tracks requirements from planning to delivery, helping project managers identify implemented, in-progress, or pending requirements. This tool is crucial for delivering projects on time and within budget, while meeting stakeholder needs. It also reduces errors and omissions, preventing costly delays and rework. Additionally, the traceability matrix helps manage change requests by quickly assessing the impact of modifications on project requirements and timelines.
Alpha testing and beta testing are both types of software testing, but they differ in their purpose, scope, and timing.
Alpha testing is the first phase of software testing, performed by the development team in a controlled environment before the software is released to external testers or users. On the other hand, beta testing is a type of software testing conducted by a selected group of external testers or users in a real-world environment, after the software has undergone alpha testing.
Aspects | Alpha testing | Beta testing |
---|---|---|
Purpose | Identify defects and performance issues during the development | Identify issues in the real-world environment after alpha testing |
Scope | Conducted in a controlled environment by the development team | Conducted in a real-world environment by a selected group of external testers or users |
Timing | Conducted before release to external testers or users | Conducted after alpha testing and in the final stages of development before release |
Testers | Members of the development team | A selected group of external testers or users |
Feedback | Given to the development team to improve software quality | Given to the development team to improve software quality |
Focus | Ensuring that the software meets the initial set of requirements | Identifying issues that were not discovered during alpha testing |
Environment | Controlled environment | Real time environment |
System testing and acceptance testing are two important types of testing that are performed during the software development life cycle. While both types of testing are important for ensuring the quality and functionality of software systems, there are some key differences between them. These are some key differences between system testing and acceptance testing:
Aspects | System Testing | Acceptance Testing |
---|---|---|
Purpose | Verify system requirements and design | Verify that the system meets business requirements and is ready for use by end-users |
Timing | Performed before acceptance testing | Performed after system testing is complete |
Testers | Performed by development or QA team | Performed by end-users or customer representatives |
Outcome | determines system flaws and problems | confirms that the system satisfies the requirements and is fit for its intended use. |
Usability testing assesses the user-friendliness of a software system by observing real users interact with it to identify any usability issues. The process typically involves setting objectives, recruiting representative participants, and designing test scenarios based on realistic tasks, such as completing forms or navigating. During testing, users are observed to capture feedback and interaction data. Results are analyzed to identify challenges, such as slow performance or confusing interfaces, and are then summarized in a report with recommended improvements, such as design changes or enhanced navigation. This ensures the software is intuitive and meets user needs.
Ad-hoc testing is an informal approach where testing is done without a predefined plan or methodology, often based on intuition or experience. It is typically manual, with little or no documentation, though some tools may be used.
In contrast, structured testing follows a specific methodology like Waterfall or Agile. It is systematic, with planned test cases, documented processes, and clear goals. Test cases are tracked and reproducible, ensuring all necessary tests are conducted. Structured testing may involve automation for repetitive or data-heavy tasks.
Build refers to the process of compiling source code, converting it into executable code, and linking it with required libraries and dependencies to create a software artifact such as a binary file or an installation package. The release refers to the process of deploying the software build to an environment where it can be accessed and used by end-users. Here is the difference between them :
Parameters | Build | Release |
---|---|---|
Definition | The process of compiling source code | The process of deploying software to end-users |
Purpose | To create a working version of the code | To make the software available to end-users |
Timing | Can occur multiple times a day | Occurs at the end of the development cycle |
Scope | Includes compiling and linking code | Includes testing, packaging, and deployment |
Responsibility | Generally performed by developers | Generally performed by a release manager or team |
Deliverables | An executable or code artifacts | A packaged and tested software release |
Dependencies | Dependent on successful code integration | Dependent on successful build and testing |
Risk | Limited impact on end-users | Potentially high impact on end-users if issues arise |
When developing and deploying software, two distinct environments are used: the test environment and the production environment. The primary differences between the two are as follows:
Aspects | Test environment | Production environment |
---|---|---|
Define | The test environment is where software is tested before being deployed to production. | End users use the software in the production environment. |
Objective | The objective of the test environment is to find and solve faults, bugs, or issues in software before it is distributed to end users. | The goal of the production environment is to make the software accessible to end users for regular use. |
Configuration | The test environment is usually configured to mimic the production environment but may have differences such as lower data volumes, different hardware or software configurations, or simulated users. | The production environment is configured for optimal performance, stability, and security. |
Access | The test environment is usually restricted to a limited number of users, typically developers and testers. | The production environment is accessible to a larger group of users, including customers and stakeholders. |
Data | In the test environment, test data is used to simulate real-world scenarios. | In the production environment, real data is used by end-users. |
Changes | Changes can be made more freely in the test environment, including software updates, configuration changes, and testing of new features. | Changes to the production environment are typically more limited and must go through a strict change management process to avoid impacting end-users. |
Support | Support for the test environment is typically provided by the development team | support for the production environment is usually provided by a dedicated operations team. |
A test plan is a crucial document that outlines the strategy, objectives, scope, and approach for testing a software application. It serves as a roadmap for the testing process, detailing testing goals, dates, and objectives. It helps identify the features to be tested, the scope of testing, and the techniques to be used, such as functional, performance, and security testing.
The test plan also ensures efficient allocation of resources, keeping testing tasks on schedule. Additionally, it identifies potential risks and issues, providing strategies to mitigate them.
Category | Code coverage | Test Coverage |
---|---|---|
Definition | Code coverage is a metric used to measure the amount of code that is executed during testing. | Test coverage is a metric used to measure the extent to which the software has been tested. |
Focus | Code coverage focuses on the codebase and aims to ensure that all code paths have been executed. | Test coverage focuses on the test cases and aims to ensure that all requirements have been tested |
Type of metric | Code coverage is a quantitative metric, measured as a percentage of code lines executed during testing. | Test coverage is both a quantitative and qualitative metric, measured as a percentage of requirements tested and the quality of the tests executed |
Goals | The goal of code coverage is to identify areas of the code that have not been tested and improve the reliability of the software. | The goal of test coverage is to ensure that all requirements have been tested and the software meets the desired quality standards. |
Coverage Tools | Code coverage can be measured using tools like JaCoCo, Cobertura, and Emma | Test coverage can be measured using tools like HP Quality Center, IBM Rational, and Microsoft Test Manager. |
Integration testing and system testing are two important types of testing performed during the software development life cycle. Here's a the differences between them :
Aspects | Integration testing | System testing |
---|---|---|
Definition | Integration testing is a method of testing where individual software modules are combined and tested together as a group to uncover any potential defects or issues that may occur during their interaction. | System testing, on the other hand, is a comprehensive testing approach that examines the entire software system as a unified entity. It entails testing all components, interfaces, and external dependencies to verify that the system satisfies its requirements and operates as intended. |
Scope | Integration testing focuses on testing the interaction between different software modules or components. | System testing focuses on testing the entire software system, including all of its components and interfaces. |
Objective | The main goal of integration testing is to identify and address any problems that arise from integrating modules, including communication errors, incorrect data transmission, and synchronization issues. | The primary objective of system testing is to ensure that the software system, in its entirety, fulfills both its functional and non-functional requirements, encompassing aspects such as performance, security, usability, and reliability. |
Approach | Integration testing can be performed using different approaches, such as top-down, bottom-up, or a combination of both. | System testing can be performed using different approaches, such as black-box, white-box, or grey-box testing, depending on the level of knowledge of the internal workings of the system. |
Timing | Integration testing is typically performed after unit testing and before system testing. | System testing is typically performed after integration testing and before acceptance testing. |
The main role of bug tracking is to provide a centralized platform for reporting, tracking, and resolving defects to ensure an efficient and effective testing process.
Bug tracking tools also generate reports and metrics to identify trends, track progress, and support data-driven decisions. These tools improve team efficiency, collaboration, and communication, resulting in a more thorough testing process. By ensuring defects are addressed and resolved before release, bug tracking minimizes the risk of negative impacts on software functionality and user experience.
Criteria | Sanity testing | Regression testing |
---|---|---|
Purpose | To quickly check if the critical functionality of the system is working as expected after a small change or fix has been made. | To ensure that the previously working functionality of the system is not affected after a change or fix has been made. |
Scope | Narrow scope, covering only critical functionality or areas affected by recent changes. | Broad scope, covering all the features and functionalities of the software. |
Time of testing | Performed after each small change or fix to ensure the core features are still working as expected. | Performed after major changes or before the release of a new version of the software to ensure there are no new defects or issues. |
Test coverage | Basic tests to ensure the system is still functioning. | Comprehensive tests to verify that the existing functionality of the software is not affected by new changes. |
Test Environment | Limited test environment with minimum hardware and software requirements. | A comprehensive test environment that covers various platforms, operating systems, and devices. |
Static testing is a type of testing in which the code or documentation is reviewed without executing the software and dynamic testing is a type of testing in which the software is executed with a set of test cases and the behavior and performance of the system is observed and analyzed. Here is the key difference between them:
Criteria | Static testing | Dynamic testing |
---|---|---|
Goals | To find defects early in the development cycle. | To ensure that the software meets functional and performance requirements. |
Time | Performed before the software is executed. | Performed during the software execution. |
Type of analysis | Non-execution based analysis of the software artifacts such as requirements, design documents, and code. | Execution-based analysis of the software behavior such as input/output testing, user interface testing, and performance testing. |
Approach | Review, walkthrough, and inspection. | Validation and verification. |
Techniques | Static Code Analysis, Formal Verification, and Peer Review. | Unit testing, Integration testing, System testing, and Acceptance testing. |
Test documentation is crucial in software testing, as it provides a detailed record of the testing process and its results. Its importance lies in fostering effective communication between the testing team and stakeholders, ensuring traceability between requirements, test cases, and defects, and meeting industry compliance standards. Additionally, it supports software maintenance by serving as a reference for identifying areas that may require further testing or updates and preserving a record of past testing efforts.
Agile and Waterfall are two different software development methodologies that have distinct approaches to testing. Here are some key differences between Agile and Waterfall testing:
parameters | Agile Testing | Waterfall Testing |
---|---|---|
approach | In Waterfall, testing is typically performed at the end of each phase, after the previous phase has been completed. | Agile testing is performed throughout the development cycle, with testing integrated into each sprint or iteration. |
flexibility | Agile is more flexible than Waterfall, with the ability to make changes to the software throughout the development process based on feedback from stakeholders. | Waterfall is more rigid and changes to the software can be difficult to implement after the development phase has been completed. |
requirements | In Waterfall, all the requirements are defined upfront | requirements are developed and refined throughout the development process based on feedback from stakeholders. |
Testing approach | testing is typically performed by a dedicated testing team | testing is often performed by the development team itself, with testers working closely with developers to ensure that defects are found and fixed quickly. |
Team collaboration | Agile emphasizes teamwork between developers, testers, and business analysts to guarantee that the product satisfies the requirements of all stakeholders. | Waterfall often results in less collaboration between teams and more division between them. |
A QA Engineer ensures that software meets the organization's quality standards. They plan the testing process, create test plans, and define strategies, working with the development team to identify test cases and scenarios. They execute tests to find defects and ensure the software meets requirements. Analyzing results, they identify areas for improvement and log issues. To improve efficiency, QA engineers create and manage automated tests. They collaborate with the development team to address problems and document the testing process for traceability.
Test plans and test cases are both important components of software testing. A test plan outlines the overall testing strategy for a project, while a test case is a specific set of steps and conditions that are designed to test a particular aspect of the software. Here's the key differences between the two:
Test plan | Test case |
---|---|
Outlines the overall testing strategy for a project | Specifies the steps and conditions for testing a particular aspect of the software |
Usually created before testing begins | Created during the testing phase |
Covers multiple test scenarios and types | Covers a specific test scenario or type |
Describes the testing objectives, scope, approach, and resources required | Describes the preconditions, actions, and expected results of a particular test |
Provides a high-level view of the testing process | Provides a detailed view of a single test |
May be updated throughout the project as testing progresses | May be reused or modified for similar tests in the future |
System testing and acceptance testing are two important types of testing that are performed during the software development life cycle. While both types of testing are important for ensuring the quality and functionality of software systems, there are some key differences between them. These are some key differences between system testing and acceptance testing:
Aspects | System testing | Acceptance testing |
---|---|---|
Purpose | Verify system requirements and design | Verify that the system meets business requirements and is ready for use by end-users |
Scope | Testing the system as a whole | Testing specific scenarios and use cases that end-users will perform |
Timing | Performed before acceptance testing | Performed after system testing is complete |
Testers | Performed by development or QA team | Performed by end-users or customer representatives |
Outcome | determines system flaws and problems | confirms that the system satisfies the requirements and is fit for its intended use. |
Criteria | Focuses on system functionality, performance, security, and usability | Focuses on meeting business requirements and user needs |
Usability testing assesses how user-friendly a software system is by observing real users' interactions to identify issues and improvement areas. The process involves defining testing objectives, recruiting representative participants, creating realistic test scenarios, conducting the testing while recording user feedback, analyzing the results for usability concerns, and finally reporting findings with recommendations for system improvements, such as UI redesigns or enhanced navigation. This testing can be performed at various stages, including prototyping, design, development, and post-release.
Ad-hoc testing is an informal, unplanned testing approach driven by intuition or experience, often conducted manually with little or no documentation. In contrast, structured testing follows a specific methodology, such as Waterfall or Agile, with planned, systematic execution of test cases. Documentation is key in structured testing, ensuring all tests are tracked and reproducible, and it may involve automation for repetitive or data-heavy tasks.
When developing and deploying software, two distinct environments are used: the test environment and the production environment. The primary differences between the two are as follows:
Parameters | Test environment | Production environment |
---|---|---|
Define | The test environment is where software is tested before being deployed to production | End users use the software in the production environment. |
purpose | The objective of the test environment is to find and solve faults, bugs, or issues in software before it is distributed to end users. | The goal of the production environment is to make the software accessible to end users for regular use. |
data | In the test environment, test data is used to simulate real-world scenarios. | In the production environment, real data is used by end-users. |
configuration | The test environment is usually configured to mimic the production environment but may have differences such as lower data volumes, different hardware or software configurations, or simulated users. | The production environment is configured for optimal performance, stability, and security. |
Access | The test environment is usually restricted to a limited number of users, typically developers and testers. | The production environment is accessible to a larger group of users, including customers and stakeholders. |
changes | Changes can be made more freely in the test environment, including software updates, configuration changes, and testing of new features. | Changes to the production environment are typically more limited and must go through a strict change management process to avoid impacting end-users. |
Support | Support for the test environment is typically provided by the development team | support for the production environment is usually provided by a dedicated operations team. |
A test plan is a key document in software testing that outlines the strategy, objectives, scope, and approach for testing an application. It acts as a roadmap, detailing the goals, timeline, and techniques (e.g., functional, performance, security testing) to be used. The test plan helps testers focus on specific features, allocate resources efficiently, and ensures all components are tested. It also identifies potential risks and provides strategies to address them, ensuring that testing tasks are completed as planned.
category | Code coverage | Test coverage |
---|---|---|
Definition | Code coverage is a metric used to measure the amount of code that is executed during testing. | Test coverage is a metric used to measure the extent to which the software has been tested. |
Focus | Code coverage focuses on the codebase and aims to ensure that all code paths have been executed. | Test coverage focuses on the test cases and aims to ensure that all requirements have been tested. |
Type of metric | Code coverage is a quantitative metric, measured as a percentage of code lines executed during testing. | Test coverage is both a quantitative and qualitative metric, measured as a percentage of requirements tested and the quality of the tests executed. |
Goals | The goal of code coverage is to identify areas of the code that have not been tested and improve the reliability of the software. | The goal of test coverage is to ensure that all requirements have been tested and the software meets the desired quality standards. |
Coverage tools | Code coverage can be measured using tools like JaCoCo, Cobertura, and Emma. | Test coverage can be measured using tools like HP Quality Center, IBM Rational, and Microsoft Test Manager. |
Integration testing and system testing are two important types of testing performed during the software development life cycle. Here's a the differences between them :
Aspects | Integration testing | System testing |
---|---|---|
Define | Integration testing is a type of testing in which individual software modules are combined and tested as a group. | System testing is a type of testing in which the complete software system is tested as a whole, including all of its components, interfaces, and external dependencies. |
Goal | The goal is to identify any defects or issues that arise when the modules interact with one another. | The goal is to verify that the system meets its requirements and is functioning as expected. |
Scope | Integration testing focuses on testing the interaction between different software modules or components. | System testing focuses on testing the entire software system, including all of its components and interfaces. |
Timing | Integration testing is typically performed after unit testing and before system testing. | System testing is typically performed after integration testing and before acceptance testing. |
Objective | The objective of integration testing is to detect any issues related to module integration, such as communication errors, incorrect data passing, and synchronization problems. | The objective of system testing is to verify that the software system as a whole meets its functional and non-functional requirements, including performance, security, usability, and reliability. |
Approach | Integration testing can be performed using different approaches, such as top-down, bottom-up, or a combination of both. | System testing can be performed using different approaches, such as black-box, white-box, or gray-box testing, depending on the level of knowledge of the internal workings of the system. |
Test Environment | Integration testing is usually performed in a test environment that simulates the production environment but with limited scope and resources. | System testing is usually performed in an environment that closely resembles the production environment, including all the hardware, software, and network configurations. |
Tester | Integration testing can be performed by developers or dedicated testers who have knowledge of the system architecture and design. | System testing is usually performed by dedicated testers who have little or no knowledge of the system internals, to simulate real user scenarios. |
Bug tracking plays a crucial role in providing a centralized platform for reporting, tracking, and resolving defects, ensuring an efficient testing process. Bug tracking tools allow testers to report defects, assign them to team members, set priorities, and track their status from reporting to resolution. These tools also generate reports and metrics to identify trends, track progress, and support data-driven decisions. By improving collaboration and communication, bug tracking enhances testing efficiency and ensures defects are addressed before release, reducing the risk of software functionality issues and poor user experience.
Thes are the major differences between sanity testing and regression testing :
Criteria | Sanity Testing | Regression Testing |
---|---|---|
Purpose | To quickly check if the critical functionality of the system is working as expected after a small change or fix has been made. | To ensure that the previously working functionality of the system is not affected after a change or fix has been made. |
scope | Narrow scope, covering only critical functionality or areas affected by recent changes. | Broad scope, covering all the features and functionalities of the software. |
Time of testing | Performed after each small change or fix to ensure the core features are still working as expected. | Performed after major changes or before the release of a new version of the software to ensure there are no new defects or issues. |
Test coverage | Basic tests to ensure the system is still functioning. | Comprehensive tests to verify that the existing functionality of the software is not affected by new changes. |
Test environment | Limited test environment with minimum hardware and software requirements. | Comprehensive test environment that covers various platforms, operating systems, and devices. |
Static testing is a type of testing in which the code or documentation is reviewed without executing the software. The goal is to find defects in the early stages of development and prevent them from becoming more serious problems later on.
Dynamic testing is a type of testing in which the software is executed with a set of test cases and the behavior and performance of the system is observed and analyzed. The goal is to verify that the software meets its requirements and performs as expected.
Criteria | Static testing | Dynamic testing |
---|---|---|
Timing | Performed before the software is executed. | Performed during the software execution. |
Goal | To find defects early in the development cycle. | To ensure that the software meets functional and performance requirements. |
Type of Analysis | Non-execution based analysis of the software artifacts such as requirements, design documents, and code. | Execution-based analysis of the software behavior such as input/output testing, user interface testing, and performance testing. |
Approach | Review, walkthrough, and inspection. | Validation and verification. |
Technique | Static Code Analysis, Formal Verification, and Peer Review. | Unit testing, Integration testing, System testing, and Acceptance testing. |
Test documentation is essential in software testing as it provides a detailed record of the testing process and results. It facilitates communication between the testing team and stakeholders, ensuring a shared understanding of goals and outcomes. It also ensures traceability, linking requirements, test cases, and defects, which aligns testing with software requirements and tracks defects effectively. Test documentation supports compliance with industry standards and regulations, providing evidence that testing has been properly executed. Additionally, it serves as a valuable resource for ongoing maintenance by highlighting areas needing further testing and documenting past efforts.
The role of a QA Engineer in software testing is to ensure the software meets quality standards and requirements. They are responsible for planning the testing process, creating test plans, and defining test strategies. QA Engineers work with developers to identify test cases, execute them, and analyze results to identify defects. They also create and manage automated tests to improve efficiency and reduce testing time. Throughout the process, they document test plans, cases, and results, maintaining traceability and ensuring the software meets quality standards.
Test plans and test cases are both important components of software testing. A test plan outlines the overall testing strategy for a project, while a test case is a specific set of steps and conditions that are designed to test a particular aspect of the software. Here's the key differences between the two:
Test plan | Test case |
---|---|
Outlines the overall testing strategy for a project | Specifies the steps and conditions for testing a particular aspect of the software |
Usually created before testing begins | Created during the testing phase |
Covers multiple test scenarios and types | Covers a specific test scenario or type |
Describes the testing objectives, scope, approach, and resources required | Describes the preconditions, actions, and expected results of a particular test |
Provides a high-level view of the testing process | Provides a detailed view of a single test |
May be updated throughout the project as testing progresses | May be reused or modified for similar tests in the future |
Here is the main differences between test scripts and test scenarios:
Aspects | Test Scripts | Test Scenario |
---|---|---|
Define | To automate the execution of a test case, a collection of instructions expressed in a programming language or scripting language. | A high-level description of the end-to-end test process, outlining the steps and conditions required to achieve a particular goal. |
Purpose | To automate repetitive testing tasks and provide consistent results | To ensure comprehensive testing coverage and verify the system behavior under specific conditions |
Level | Detailed and low-level | High level |
content | Specific and detailed steps for each test case | A series of related test cases that follow a logical flow |
Input | Technical and specific to the system being tested. | Business requirements or use cases |
Output | Test results and error logs | Detailed report of the testing process and results |
User | Typically used by testers or automation engineers | Used by testers, developers, business analysts, and other stakeholders |
Maintenance | Requires frequent updates to keep up with changes in the system being tested | Needs updates less frequently, as it focuses on the overall testing process rather than specific test cases |
Manual Testing Interview Questions
Note : We have compiled all Manual Testing Interview Questions List for you in a template format. Feel free to comment on it. Check it out now!!
Test data is essential in software testing as it helps verify functionality, performance, and security. It confirms the system's correctness by providing inputs to detect errors, identifies edge cases, ensures data accuracy, and enhances test coverage by simulating a variety of scenarios. Additionally, it helps uncover potential security vulnerabilities by emulating attacks. Using test data effectively improves the application's quality and reduces the time and cost of addressing issues.
Performance testing and stress testing are two types of software testing that help evaluate a system's performance and behavior under different conditions. The main difference between these two testing types is their purpose and the testing parameters. Here's a main the difference between them :
Parameters | Performance testing | Stress testing |
---|---|---|
purpose | To determine how well the system performs under normal and expected loads | To determine the system' stability and resilience under extreme and beyond expected loads |
Goal | To ensure the system meets the expected performance criteria and user experience | To determine the system' breaking point and identify the weaknesses and bottlenecks |
Load level | Moderate to high load, typically up to the system' capacity | High to extremely high load, beyond the system' capacity |
Testing environment | Controlled environment that simulates expected user behavior | Uncontrolled environment that mimics real-world usage |
Focus | Response time, throughput, and resource utilization | tability, availability, and recovery time |
Test duration | Typically a longer duration to measure system behavior under sustained load | Typically a shorter duration to measure the system' response under peak loads |
Testing tools | Load generators and monitoring tools | Load generators, chaos engineering tools, and fault injection tools |
Testing type | Load testing, volume testing, and endurance testing | Spike testing, soak testing, and destructive testing |
Test coverage measures how extensively software has been tested, usually as a percentage of code or functionality covered by test cases. Achieving complete test coverage is essential to identify defects and ensure the software meets requirements. This involves having clear requirements, a detailed test plan, using diverse testing techniques, automating tests where possible, leveraging code coverage tools to identify untested areas, and continuously improving the testing process as the software evolves.
Defects are problems that need to be fixed to restore the expected behavior of the system, while enhancements are improvements that add value to the existing system. Here is the difference between them :
Defects | Enhancement |
---|---|
A defect is a deviation from the expected behavior of the system or software. | An enhancement is a new or improved feature that adds value to the existing system or software. |
Defects are errors that cause the system or software to behave unexpectedly, leading to incorrect or inconsistent results. | Enhancements are changes made to improve the functionality, usability, or performance of the system or software. |
Defects are usually reported as bugs or errors that need to be fixed. | Enhancements are usually suggested as ideas for improving the system or software. |
Defects are typically found during testing or after the system or software has been deployed. | Enhancements are usually requested by users or stakeholders before or after the system or software has been deployed. |
Defects are usually given high priority as they can affect the system' stability and performance. | Enhancements may or may not be given high priority depending on their impact and the project' goals. |
Defects are usually fixed in the next release or patch of the software. | Enhancements are usually implemented in a future release or version of the software. |
A critical function in software development teams is performed by the QA analyst who ensures that the software meets the necessary quality standards and specifications. The QA analyst's main duties involve scrutinizing project requirements and specifications, devising and implementing test plans, detecting and reporting defects, collaborating with the development team, participating in product design and code reviews, and maintaining documentation related to testing processes.
Regression testing ensures that changes made to an existing software system do not introduce new errors or reintroduce previously fixed issues. Its main goal is to maintain software quality and reliability after modifications, detecting bugs that may arise during development or feature additions. Without regression testing, defects could go unnoticed, potentially harming software quality and negatively affecting the user experience.
Smoke testing and regression testing are both essential software testing techniques, but they serve different purposes. Smoke testing is a preliminary check to ensure that the basic, critical features of a software application work as expected after a fresh build or deployment. It helps identify major flaws early, like installation or setup issues, before proceeding with more detailed testing. In contrast, regression testing is a comprehensive process conducted after changes are made to the software (e.g., bug fixes or new features). It ensures that new changes haven't disrupted existing functionality. Smoke testing is brief and basic, while regression testing is thorough and more detailed.
Risk-based testing prioritizes testing high-risk areas of a software application to minimize potential failures, often used in safety-critical industries. In contrast, exploratory testing relies on the tester's creativity and experience to explore the application without a predefined test plan, aiming to uncover defects, particularly unexpected behavior or usability issues. It is commonly used in agile environments for quick feedback as requirements evolve.
Test estimation and test planning are two crucial tasks in the software development lifecycle. Test estimation occurs early in the project, during the requirements phase, and involves determining the time, resources, and personnel needed for testing activities like test case development and execution. It helps project managers allocate resources and manage timelines and budgets. Test planning follows the finalization of requirements and outlines how testing will be carried out, including test strategies, types of tests, tools, environment, and team roles. Test planning ensures a structured approach to the testing phase.
These are the major differences between test case and defect :-
Test case | Defects |
---|---|
A particular set of circumstances or inputs that are used to test the efficiency, effectiveness, and conduct of an application or system. | A mistake, problem, or issue that is found during testing and shows that the software application or system does not work as planned or does not adhere to its specifications. |
ensures that the system or piece of software satisfies its requirements and performs as expected. | indicates that there is an issue that has to be fixed with the software application or system. |
created by a tester to confirm that a particular software feature or system performs as intended. | when a tester or end user runs into a bug or difficulty while utilizing the system or piece of software. |
used to guarantee the robustness, dependability, and compliance with the quality requirements of the software application or system. | used to locate and monitor flaws or issues in the software system or application, after which developers fix them. |
Performance testing and load testing are both important types of testing that help evaluate the performance of a software application or system, but there are some key differences between the them :
Performance testing | Load testing |
---|---|
A type of testing that evaluates the performance of a software application or system under specific conditions such as a specific number of concurrent users or requests. | A type of testing that evaluates the behavior of a software application or system under varying and increasing loads such as increasing number of concurrent users or requests. |
Focuses on measuring response times, throughput, and resource utilization of the software application or system under specific conditions. | Focuses on evaluating how the software application or system behaves under heavy loads and whether it can handle the anticipated user load without performance degradation. |
Typically used to identify and eliminate performance bottlenecks and improve the overall performance of the software application or system. | Typically used to determine the maximum load that the software application or system can handle, identify the point at which it fails, and optimize its performance under high loads. |
Can be conducted using different tools and techniques such as load testing, stress testing, endurance testing, and spike testing. | Can be conducted using tools and techniques such as load testing, stress testing, and capacity testing. |
Examples of performance testing include testing the response time of a web page or the scalability of a database. | Examples of load testing include testing how a web application behaves under high traffic and user loads, or how a database responds to a large number of concurrent requests. |
Aspects | Compatibility testing | Interoperability testing |
---|---|---|
Define | Compatibility testing is a type of software testing that evaluates the compatibility of an application or system across different platforms, operating systems, browsers, devices, or software versions. | Interoperability testing focuses on validating the interaction and communication between different systems, components, or software applications. |
objective | Verify software functions consistently in various environments | Assess the ability of systems to work together and exchange information |
Scope | Platforms, operating systems, browsers, devices, software versions | Systems, components, software applications, data exchange |
Key Factors | Hardware configurations, operating systems, browsers, displays | Data exchange formats, protocols, interfaces, APIs |
Purpose | Reach a wider audience, consistent | Seamless communication, integration, and data exchange |
Test data and test cases are both important terms used in software testing. The main difference between them is that test data refers to the input data that is used for testing a particular functionality, while a test case is a set of instructions or conditions used to test that functionality.
These are some differences between them:
Test Case | Test data |
---|---|
A test case is a documented set of conditions or actions that need to be executed to validate a particular aspect of the system. | Test data refers to the specific set of inputs or data values that are used as input for executing a test case. |
It specifies the steps, preconditions, expected outcomes, and any specific data inputs required to execute the test. | Test data is designed to cover various scenarios and conditions to validate the behavior of the system under test. |
A test case typically consists of a unique identifier, a description of the test scenario, steps to be followed, and the expected results. | It can include both valid and invalid data, boundary values, edge cases, and any other inputs necessary to thoroughly test the system. |
It provides a detailed roadmap for conducting a specific test and serves as a reference for testers to ensure consistent and reproducible testing. | For example, if testing a login functionality, test data may include valid usernames and passwords, incorrect passwords, empty fields, or inputs that exceed the maximum character limit. |
Test cases often reference the necessary test data to be used during their execution. | Test data is essentially the data used as input during the execution of a test case. |
Test data is an integral part of test cases as it provides the specific values to be tested against the expected results. | It is crucial for achieving meaningful and comprehensive test coverage. |
In software testing, a test suite and a test script are both important terms used to describe different aspects of the testing process. A test suite is a group of multiple test cases that are organized together, whereas a test script is a set of instructions or code used to automate the testing process for a specific test case. These are some differences between them :
Test Suite | Test Script |
---|---|
A collection of multiple test cases | A set of instructions or code used to automate testing |
It can contain test cases for multiple functionalities or scenarios | It is specific to a single test case |
It is used to organize and manage multiple test cases | It is used to automate a specific test case |
It can be executed manually or with the help of automation tools | It is used for automated testing |
Regression test suite, acceptance test suite, and performance test suite are the example of test suite | Selenium WebDriver scripts, API test scripts, and performance test scripts are the examples of test scripts |
Test coverage and traceability are both important concepts in software testing, but they are different in their focus and objectives. Here's the differences between them:
Test coverage | Traceability |
---|---|
Measures the extent to which a set of test cases covers a specific aspect or feature of the software | Tracks the relationships between requirements, test cases, and other project artifacts |
aims to reduce the possibility of undiscovered faults by focusing on ensuring that all aspects of the software are tested. | ensures that requirements are effectively implemented, tested, and managed as changes to requirements occur. |
Statements, branches, conditions, and other code elements can all be included in test coverage metrics. | Coverage of requirements, test cases, design papers, and other project artifacts are some examples of traceability measures. |
Test coverage identifies software components that have not received enough testing. | Traceability makes ensuring that every requirement has been tested and every modification has been adequately documented. |
Testing efforts can be prioritized using test coverage, and improvement opportunities can be found. | Traceability can be used to evaluate changes' effects, spot testing gaps, and enhance requirements management. |
Code coverage, branch coverage, and functional coverage are some examples. | Examples include requirement tracing, test case tracing, and design tracing. |
Testing distributed systems is challenging due to issues like network communication delays, component failures, data consistency across multiple components, and scalability under varying loads. Additionally, replicating a production-like environment for testing is difficult, as it requires simulating network conditions, failure scenarios, and large data volumes to accurately assess system performance.
To develop a successful test strategy for a complex system, start by thoroughly understanding its architecture, design, and operation. Set clear testing goals, identify potential risks, and prioritize them based on significance and likelihood. Define the required test coverage and create detailed test scenarios that simulate real-world situations. Establish the necessary test environment, execute tests, and report results to stakeholders, highlighting any issues. Finally, refine your test strategy based on the findings to ensure testing objectives are met and desired coverage levels are achieved.
Creating a complete test suite for a complex system involves understanding the system’s architecture, design, requirements, and dependencies. Start by defining clear test goals and identifying all possible use cases, both typical and extreme. Develop detailed test cases for each scenario, prioritizing them based on criticality. Plan for test automation to reduce testing time and effort. After preparing the test suite, run the tests, analyze the results, and fix any issues. Iteratively refine the suite based on feedback to ensure thorough testing. Involve stakeholders and communicate progress and results effectively throughout the process.
To effectively manage test data for a large system, start by identifying the data requirements for various test scenarios. Create representative datasets that reflect different use cases, and generate synthetic data when real production data is unsuitable. Ensure privacy by anonymizing or masking sensitive information, and manage separate test data environments to maintain data integrity. Automate data provisioning for efficiency and maintain versioning for retesting and comparisons. Regularly monitor data quality and accuracy, collaborate with stakeholders, and implement strong security measures to protect test data from unauthorized access.
Security testing on a web application involves several phases. First, identify potential threats such as injection attacks, XSS, CSRF, and authentication issues. Next, map the application’s attack surface to locate potential entry points. Use automated vulnerability scanners to identify weaknesses, but also perform manual testing to uncover issues that automation may miss. Penetration testing simulates real-world attacks to detect vulnerabilities, and reviewing the source code manually can reveal additional risks. Validate the findings to confirm their exploitability, then report the issues to the development team. Finally, after fixing vulnerabilities, retest the application to ensure no new issues have been introduced.
When performing compatibility testing for a mobile application, the goal is to ensure it works across a range of devices, operating systems, and network configurations. First, identify the target devices and platforms, considering factors like market share and device capabilities. Create a test environment that mimics these conditions using virtual machines, cloud services, or physical devices. Test the app across different screen resolutions and orientations to ensure proper display, and check its performance on various network settings like 3G, 4G, and Wi-Fi. Verify device-specific features like the camera and GPS, and test compatibility with other applications. Conduct regression testing to confirm that fixing compatibility issues doesn’t introduce new problems. Finally, document and report any issues, including their severity and the affected devices or systems.
Test cases are essential in software testing to ensure that the software meets its requirements and functions as expected. Common types include functional test cases, which verify that the software performs its intended functions; integration test cases, which ensure that different software modules work together as planned; regression test cases, which check that changes don't introduce new errors; performance test cases, which evaluate how the software performs under various load conditions; and usability test cases, which assess whether the software meets user expectations. These test cases are created systematically, specifying inputs, expected results, and procedures, and are reviewed and approved by stakeholders before execution.
Test plan | Test suite |
---|---|
A test plan is a document that outlines the testing strategy for a software project. | A test suite is a collection of test cases that are designed to test a specific aspect of the software |
It provides a comprehensive view of the testing effort, including testing objectives, scope, strategy, environment, tasks, deliverables, and exit criteria | It is a more granular and detailed level of testing that focuses on testing individual features or components of the software. |
It is created before the start of the testing process, usually by a test manager or lead in consultation with stakeholders. | It is created during the testing process, usually by a tester or test automation engineer.It |
It is a static document that guides the entire testing effort and ensures testing aligns with project goals. | It is a dynamic entity that can be modified, updated, or expanded based on testing needs, test results, or changes to the software |
A test plan is more focused on the testing process as a whole, and less on individual test cases. | The test suite is more focused on individual test cases, and less on the testing process as a whole. |
A testing architect's main role is to design and implement a comprehensive testing strategy to ensure software quality. They collaborate with the development team to create test plans, define test cases, and develop automated scripts. They also manage the testing process, track bugs, prioritize test cases, and report on testing progress, ensuring the timely delivery of software that meets requirements and stays within budget.
Ensuring data integrity during testing is vital for reliable software. Validate test data, configure the environment properly, and enforce access restrictions to prevent unauthorized changes. Include varied inputs, including faulty data, and use test automation for better coverage and accuracy. These practices help identify data integrity risks and ensure the software is reliable for end users.
An incident report and a defect report serve different purposes in software testing:
Incident Report: Describes unexpected events during testing or real-world use, such as errors, crashes, or system failures. It may not always have a clear cause and can result from software defects, hardware issues, or user errors.
Defect Report: Documents a specific bug or vulnerability in the software, identifying a deviation from requirements or design. It is typically created during testing or by end-users post-release and is used for diagnosis and fixing the issue.
Testing non-functional requirements like performance, security, and usability is essential for software quality. Performance testing ensures optimal system performance under various loads, security testing identifies vulnerabilities like XSS or SQL injection, and usability testing focuses on user experience by measuring metrics such as learnability and satisfaction. By addressing these areas, you can enhance the software’s overall functionality, safety, and user-friendliness.
A test environment and a production environment are two distinct environments used in the software development life cycle.
Test environment | Production environment |
---|---|
A test environment is a controlled environment used for testing software changes, upgrades, or new applications. | a production environment is the live environment where the software application is deployed and used by end-users. |
It is a replica of the production environment but is used solely for testing purposes. | The production environment is the environment where the software runs in the real world, and any issues can impact end-users. |
It allows developers and testers to verify that the application functions as expected without affecting the live production environment. | Therefore, it is highly important to ensure that any changes deployed to the production environment are thoroughly tested in a test environment before release. |
Different forms of testing, including functional, performance, and security tests, are carried out in test environments. | Production environments need to be highly stable, secure, and scalable to handle the load of live user traffic. |
Test environments can be developed in a variety of configurations based on the unique testing requirements, and they can be hosted locally, on-premises, or in the cloud. | The performance and security of the production environment are crucial for guaranteeing the application' smooth operation, and any issues in this environment can have significant effects on the business. |
To develop an effective mobile application testing strategy, begin by clearly defining testing objectives and the key issues to be uncovered. Identify the target devices and platforms, ensuring comprehensive test coverage across different operating systems and screen sizes. Select the appropriate testing tools, both automated and manual, and create detailed test cases for various scenarios. Execute the tests, document results, and prioritize defects based on severity. Communicate testing outcomes to stakeholders and continuously refine the strategy to enhance coverage and meet the defined objectives.
Be sure to check out our comprehensive guide on Top Asked mobile testing interview questions to further strengthen your preparation.
Various software testing methodologies cater to different project needs. Waterfall Testing is sequential and works best for simple projects with stable requirements. Agile Testing is iterative, ideal for complex, evolving projects. Exploratory Testing combines learning and test execution, suitable for projects with limited knowledge. Acceptance Testing ensures software meets business requirements before release, while Regression Testing checks that new changes don't break existing functionality. Black Box Testing focuses on user-facing functionality, and White Box Testing tests the internal code structure for individual components.
Manual Testing Interview Questions
Note : We have compiled all Manual Testing Interview Questions List for you in a template format. Feel free to comment on it. Check it out now!!
Exploratory Testing | Scenario-based Testing |
---|---|
A testing technique that involves simultaneous test design and execution. | A testing technique that involves creating test scenarios in advance and executing them. |
There might not be a clear test plan or script for testers to follow. | A predetermined test plan or script is followed by testers. |
Testers are encouraged to use their knowledge, skills, and experience to identify defects that may not be covered in a test script. | Testers execute tests according to predetermined scripts or scenarios. |
Typically used for ad-hoc or unscripted testing where the requirements are unclear or unknown. | Typically used for testing where the requirements are well-defined and documented. |
Helps to identify unexpected defects and usability issues. | Helps to ensure that all scenarios are covered and defects are identified. |
Less documentation is required. | Requires more documentation for test scenarios and test results. |
Can be more time-consuming due to the need for test design and execution. | Can be less time-consuming as scenarios are already predefined. |
Appropriate for testing complex systems with a large number of variables and dependencies. | Suitable for testing systems with well-defined requirements and limited variability. |
To perform load testing on a web application, first define performance criteria such as expected user numbers and response times. Choose an appropriate load testing tool like JMeter or LoadRunner, and create realistic user scenarios. Set the load profile, configure the tool, and execute the test, monitoring performance indicators such as response time and throughput. Analyze the results to identify bottlenecks and optimize performance, then iterate the process to ensure the application can handle the expected load.
Performance testing evaluates how well a system performs under various conditions, including high traffic and stress factors. It includes different types, such as load testing, which measures system performance under normal and peak loads, and stress testing, which tests its capacity under extreme conditions. Endurance testing assesses performance over long periods, spike testing examines how the system handles sudden load increases, and scalability testing checks the system's ability to adapt to changing load levels. The type of performance test chosen depends on the system’s specific performance goals and requirements.
Test automation plays a vital role in software testing as it automates test case execution, resulting in increased efficiency and time savings. It ensures consistent and repeatable testing, improves test coverage, and is particularly valuable for regression testing. Automated tests provide accurate and reliable results, detect defects early in the development lifecycle, and allow for scalability in testing. Test automation also simplifies the maintenance of regression test suites and enables parallel execution for faster testing cycles
Integration testing in distributed systems involves verifying the interaction between different components or services. To perform it effectively, start by identifying system components and defining integration scenarios. Set up a test environment that mirrors production and prepare realistic test data. Design test cases with specified inputs, expected outputs, and validations, then execute them while monitoring interactions and data flow. Capture results, analyze discrepancies, and debug issues. Also, test scalability and performance under various conditions. Continuous refinement, expanding coverage, and automation of tests are essential for thorough integration testing.
Regression testing ensures that code changes don't negatively impact existing functionality. It includes types like unit regression (testing individual units), partial regression (for specific sections of code), full regression (after major changes), progressive regression (ongoing testing in Agile), and selective regression (focused tests based on affected areas). Each type helps maintain software stability and performance after updates or modifications.
Effective communication between the testing team and other project teams is crucial for success. Key practices include scheduling regular meetings with developers, product owners, and stakeholders to discuss project progress and issues. Using shared project management tools like Jira or Trello keeps everyone updated. Test reports should be shared to inform stakeholders about completed tests and issues. Promoting open communication and using a common language helps avoid misunderstandings. Clear expectations should be set early regarding the testing scope, coverage, and schedule to ensure alignment across teams.
Creating a manual test plan for a complex system involves understanding the system’s requirements, defining clear test objectives, and identifying the necessary test levels. Key steps include selecting appropriate test techniques, developing test scenarios, prioritizing based on impact, and defining the test environment and data. It's essential to establish entry and exit criteria, determine deliverables, and continuously update the plan. Regular reviews and approval from stakeholders ensure the plan aligns with project goals and addresses risks effectively throughout the lifecycle.
Testing cloud-based applications requires addressing key challenges such as security to protect sensitive data, scalability to handle varying loads, and network performance to manage latency and outages. Integration with other services and lack of control over remote hosting servers also adds complexity. Testing strategies should ensure data protection, seamless integrations, and robust performance under different conditions.
In software testing, both test conditions and test scenarios are used to define and design test cases. While they are related, they represent different aspects of the testing process. Here's the difference between the them:
Test condition | Test scenario |
---|---|
A specific element or attribute of a system that needs to be verified | A sequence of steps that describe a specific use case or interaction with the system |
Derived from the requirements or specifications of the system | Derived from the user stories or use cases of the system |
Describes a narrow aspect of the system that needs to be tested | Describes a broader concept that encompasses multiple test conditions |
Examples: verifying that a login page accepts valid credentials, verifying that a search bar returns relevant results | Examples: testing the login process, testing the search functionality |
Used to define and execute test cases | Used to plan and organize testing activities |
Helps ensure that the system meets the specified requirements | Helps ensure that the system is working as intended in real-world scenarios |
Performing security testing on a distributed system involves several key steps to ensure its integrity and resilience against potential threats. First, identify all components of the system, including hardware, software, and network architecture. Conduct threat modeling to pinpoint vulnerabilities across the system, from the user interface to backend databases. Penetration testing should simulate real-world attacks on various components, including third-party services. Test authentication and access controls to ensure only authorized users can access critical data. Verify encryption mechanisms for data protection in transit and at rest, and assess disaster recovery and business continuity strategies. Finally, ensure compliance with security standards like HIPAA, GDPR, or PCI DSS.
test environment | Test bed |
---|---|
A test environment refers to the infrastructure, hardware, software, and network setup where testing activities are conducted. | A test bed refers to a configured setup that includes hardware, software, and network components specifically designed for testing purposes. |
Provides necessary resources for executing test cases and evaluating system behavior. | Controlled environment simulating real-world scenarios for testing. |
Can include development, staging, or production environments. | Created for specific testing purposes (e.g., performance, compatibility, security). |
May consist of interconnected systems, databases, networks, and supporting tools. | Combination of physical hardware, virtual machines, operating systems, and test automation tools. |
Varied configurations, data sets, and access rights based on testing requirements. | Replicates production environment with necessary hardware and software configurations. |
Shared among different testing teams or projects, requiring coordination. | Dedicated setup created and maintained by a specific testing team or project. |
Changes or updates can impact multiple testing activities, requiring planning. | Changes managed within the scope of a testing project, limited impact. |
Focuses on infrastructure for testing, may not have all required components. | Provides a complete and controlled environment tailored to specific testing objective. |
Testing complex workflows requires a systematic approach to ensure functionality and reliability. Begin by understanding the workflow in detail, breaking it into smaller steps to identify interactions and expected outcomes. Focus on critical paths and prioritize testing based on risk and impact. Develop comprehensive test cases covering both normal and exceptional scenarios, utilizing techniques like boundary value analysis. Leverage test automation to enhance coverage and efficiency, and simulate external dependencies with mocks or stubs for isolated testing. Manage test data effectively and validate error handling, ensuring the system recovers gracefully. Additionally, perform performance, scalability, and end-to-end testing to verify the system can handle loads and achieve desired outcomes.
Exploratory testing is a method of testing where the tester learns about the system while testing it. In this testing testers use their understanding of the system to create and perform test cases, adjusting their testing approach as they learn more about the system. The main aim of exploratory testing is to identify problems in the system that may be overlooked by other scripted testing methods. This method is especially useful in complex and fast-paced systems where the requirements are unclear or when time and resources are limited. The purpose of exploratory testing is to complement other testing methods and to provide a flexible and adaptable approach that can quickly and effectively identify issues and problems in the system.
To measure the effectiveness of testing, key metrics include test coverage, which calculates the percentage of code or functionality tested; defect density, which evaluates the number of defects per unit of code; and the test effectiveness ratio, which compares the defects found to the total number of test cases executed. Other metrics like mean time to failure assess software reliability by measuring the average time between releases and failures, while customer satisfaction provides insight into how users perceive the quality and functionality of the software. These metrics help determine if testing is thorough and successful in identifying issues.
The testing coordinator in a software development team is responsible for managing the testing activities throughout the software development life cycle. They generally work with the project manager, developers, and other stakeholders to develop a comprehensive test plan, design and execute tests, manage defects, prepare test reports, and identify opportunities for process improvement. This role is crucial to ensuring that the software is thoroughly tested and meets the quality standards of the organization.
To perform load testing on a distributed system, start by identifying the test scenario, understanding the expected user load and how the system responds. Set up a test environment similar to the production setup, including the necessary hardware, software, and monitoring tools. Develop test scripts that simulate real user behavior under expected load conditions. Execute the test and monitor system performance, capturing data on response times, throughput, and error rates. Afterward, analyze the results to identify any performance bottlenecks or issues, then repeat the test to validate that the system can handle the required load effectively.
Testing legacy systems can pose a challenge as they were created with older technologies and may lack proper documentation. To handle testing of legacy systems, a risk analysis should be conducted to prioritize the areas of the system that require testing. Existing documentation should be reviewed, and reverse engineering can be done to understand the system better. Test cases should be created, focusing on critical functionalities, and automation can be used where possible. Regression testing should be performed to ensure changes do not break existing functionality. Collaboration with domain experts can identify areas that require extensive testing, and documenting and tracking defects found during testing is essential for prioritizing bug fixes.
Localization testing is an essential part of manual testing that focuses on assessing how well a software application is adapted to a specific locale or target market. Its importance lies in ensuring cultural adaptation, validating user experience, verifying language accuracy, validating functionality, complying with legal requirements, and enabling successful market expansion. By conducting localization testing, software applications can effectively cater to diverse markets, enhance user experience, and increase market acceptance.
User Acceptance Testing (UAT) for complex systems involves defining clear acceptance criteria, identifying critical test scenarios, and selecting participants who represent end-users. Test cases are created to validate functionality, and testing is performed to identify defects. Once issues are prioritized and fixed, re-testing ensures the system functions as expected. Finally, UAT sign-off is obtained, confirming that the system meets the necessary requirements for deployment.
Baseline testing and benchmark testing are both crucial for evaluating software performance, but they serve different purposes. Baseline testing establishes a reference point for performance, functionality, and behavior of the software at a stable version. It helps track changes and deviations over time as new versions are released. On the other hand, benchmark testing compares the software's performance against established standards or competitors, focusing on metrics such as speed, efficiency, and response time. This testing helps identify areas for improvement and optimize system performance, ensuring it meets or exceeds industry standards.
Testing tools are essential throughout the software testing life cycle, each serving a specific function. Test management tools assist in organizing and tracking the testing process, from planning to reporting, ensuring smooth execution. Test automation tools streamline repetitive test case execution, improving efficiency and test coverage, particularly for regression and performance testing. Performance testing tools simulate load conditions to evaluate system scalability, response time, and reliability. Code analysis tools help identify issues like syntax errors and code duplication, improving code quality. Lastly, debugging tools aid in detecting and resolving code issues, enhancing overall software reliability.
Including manual testing in a test strategy is vital for QA teams, as it provides insights from the end user's perspective, focusing on customer experience. While automation is key in agile development, manual testing remains essential. Candidates skilled in both manual and automation testing are valuable assets. By preparing thoroughly with a resource of common manual testing interview questions, job seekers can improve their chances of success. Good luck with your interview and future career in manual testing!
Did you find this page helpful?
Try LambdaTest Now !!
Get 100 minutes of automation test minutes FREE!!