OVERVIEW
Black box testing is a software testing methodology that focuses on the functional requirements of a system without considering its internal workings or implementation details. The tester need not have any knowledge of the internal structure or design of the system.
It ensures that a system meets the requirements specified by the customer or user. A black box test can be conducted at different levels, including unit testing, integration testing, and system testing. In order to identify defects and ensure that a system works properly, running black box tests is a valuable approach.
Black box testing is a software testing method that examines the software without prior knowledge of its internal structure. It can be contrasted with White box testing, which involves a more in-depth knowledge of the software's implementation details.
In theory, Black box tests can be run by anyone, independent of the development team, and a developer's familiarity with the code should not affect how well their code is tested; conversely, White box tests tend to require a developer's intimate understanding of the code to construct test cases.
So the primary job of a software tester while running Black box tests is to test the functionalities of software applications when the internal paths & code structure are not known.
The customer's set of detailed requirements for the product is tested. These requirements are related to different functions, so a tester chooses a function, enters an input value, and examines the output. If the function's result is correct, it is passed in testing.
It is also sometimes referred to as behavioral testing, as instead of the technical perspective, behaviors are considered from the point of view of a software program in various situations.
The need is to determine how a software program behaves instead of focusing on the technical aspects under various conditions. It also helps you to identify different errors like:
In this section, we will discuss some of the benefits of executing Black box tests.
By definition, Black box tests are done without seeing the inner workings of the application. That said, there are still limitations to what you can accomplish with this method.
Black box tests ensures to keep a check on the input that enters the software while checking the desired output. Below is the scope of Black box tests.
Black box testing is used in three main types of software testing: functional, non-functional, and regression.
We test the functionality of a software program by specific functions or features of the software. The functional requirements of a system are tested, for example, logging in to an eCommerce site through the correct credentials & also checking through the wrong credentials whether the desired output is obtained.
In non-functional testing, there is a focus on “HOW’. It doesn’t test if the features & functions are performed well but focuses on the how part of testing. Non-functional testing is never carried out before functional testing.
After a fix, upgrade, or other system maintenance, regression testing is done to ensure the new code hasn't adversely affected existing code. It is used to determine whether a new version of the software performs as well as or better than the previous version. It's possible that a fixed defect could have introduced another defect.
Many different Black box test techniques help in testing various features of the software. There are several techniques available out there, but not all of them can be used for every type of application. Some basic techniques are:
In this, we need to break up possible inputs into groups and test one example input from each group. An equivalence class is a set of data items considered equivalent to each other, so it will receive the same processing when sent as input to an application.
For example, a food company's software might charge different subscription fees for people who are already members for 2 years & different for new members. In this case, it is sufficient for testers to check only one case from each group.
This technique is closely associated with equivalence class partitioning. A system exhibits a special response at a specific value of an input; that specific response at that specific value is called its boundary. We analyze the application's behavior with test data at the boundaries of equivalence classes.
For example, a specific field may accept only values within that range, like supposing a range is 0 to 100. The tester will see if the system accepts and rejects inputs correctly when the number above is entered.
Testing the application’s behavior based on different combinations of input values is called decision tables testing. Many systems provide outputs depending on the conditions in which they are operating. The columns each have a unique combination of elements. Testers can identify the conditions that must be satisfied for a rule to apply, determine the outcome of each rule, and design a test case for each rule. The functions that have a logical relationship between two or more inputs are appropriate.
It is a way to determine what the software application does when different values of input are given to the same function. Generally used in cases where there is a transition from one state to another. Like in the case of the login mechanism where after a specific number of failed login attempts, it goes into a transition where the locking of the account takes place.The testers here design test cases that probe the system when it transitions states.
This technique involves identifying common errors developers make when building similar systems. It’s a way to identify errors without setting forth a specific method. The tester will be guided by experience when trying to find unknown problems in software here.
Use case testing is a form of software testing that uses use cases. As per the usage of the system, they are used to identify the test cases from start to end. A test scenario is created based on the functionality of each function from beginning to end.
It's a technique that explains the relationship between a result and all the factors that impact it. Dynamic test cases are used here. This technique, also called the cause-effect graph technique, is based on a collection of requirements and is used to determine the minimum number of tests that can cover the maximum number of sections in the software.
The cause-and-effect graph technique can convert the requirements specification into a logical relationship between input and output conditions.
It is also known as pairwise testing. It is used to test all the possible combinations of values. The applications that use checkbox input, radio button input, list box, and text box use this combinatorial method.
With so many options to choose from, it can be hard to find the right tools you need to test applications. Here are some of the most common tools
In this section, let's look at how to run your Black box tests.
While performing testing, you must also take different browsers, browser versions, devices and operating system into account. It ensure your software applications works perfectly across each configuration.
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An example of black box testing is evaluating a web app's login feature without insight into its code. This involves checking if the login page works correctly with the correct user credentials.
Test Case Name: Validate Successful Login Using Correct Credentials
Test Procedure:
Expected Outcome: The system should grant access, redirecting the user to the main dashboard or homepage of the application.
Test Case Outcome: PASS (upon successful redirection to the dashboard/homepage)
Test Case Name: Validate Login Failure with Incorrect Credentials
Test Procedure:
Expected Outcome: The system should deny access, displaying a specific error message (such as “Invalid username or password”) on the login screen to indicate the failure of the login attempt.
Test Case Outcome: PASS (if the specified error message is correctly displayed)
Let's look at the differences between Black box and White box testing.
White box testing | Black box testing |
---|---|
Developers usually work on it. | Testers usually perform this task. |
The tester is familiar with the ins and outs of the internal structure and code. | In this type of software testing, the internal structure or code behind the program is hidden. |
You need to write some code to make it work. | You don't need to write some code to make it work. |
It is the process of testing an application's structure. | It is the functional testing of an application. |
Software testing begins after the design document has been finalized. | The testing process can start by checking the required specification documentation. |
It can take a long time. | Doesn't take much time. |
It is perfect for testing algorithms. | It is not the best way to test an algorithm. |
This method is most effective for lower levels of software testing. | This method is most effective for higher levels of software testing. |
In this guide, we have covered some of the main points regarding Black box testing, its advantages & disadvantages so you can decide in what situations you should do it.
Happy Testing!!!
Black box testing is a method of software testing in which the tester has no prior knowledge of the system being tested.
It tests the application's functionality and its non-functional requirements. Testers don't need access to the software's coding/design/internal architecture. This allows them to work independently from developers
There are three main types of Black-box testing: functional testing. non-functional testing. regression testing.
Black box testing is a software testing technique where the internal workings of a system are not known to the tester. It focuses on validating the functionality and behavior of the system without considering its internal structure. The goal is to assess the system solely based on its inputs and outputs.
Black box penetration testing is a cybersecurity assessment where ethical hackers evaluate a system without prior knowledge of its internal workings. They simulate real-world attacks to identify vulnerabilities and assess the system's security posture. The goal is to provide actionable insights for improving defenses against potential threats.
Black box testing is a software testing technique where the internal workings of the system are not known to the tester. It focuses on the system's inputs, outputs, and functionality. In contrast, white box testing involves examining the internal structure and implementation of the system to ensure code correctness.
Companies may prefer black box testing over white box testing due to several reasons. Black box testing focuses on the software's functionality from a user's perspective, ensuring a better assessment of real-world scenarios. It requires no knowledge of internal code, making it easier to perform and allowing non-technical personnel to participate.
Black box testing is a software testing method where the internal workings of a system are not considered. It focuses on validating the functionality and behavior of the system from an external perspective. This method verifies inputs and expected outputs without inspecting the internal code or structure.
Black box testing offers several advantages. It allows for independent test design, focusing on functionality rather than internal structure. It simulates end-user experience, identifying real-world issues. Additionally, it facilitates effective bug detection, enhances software quality, and reduces development time by parallelizing testing and coding.
The three key features of black box testing are: 1) Testing without knowledge of the internal structure or code of the system, 2) Focus on the system's external behavior and inputs/outputs, 3) Objective is to uncover errors, functionality issues, and ensure expected functionality.
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