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AI Use Cases in Software Testing | LambdaTest
Playlist
- What Is Cypress?
- What Is Playwright?
- What Is TestNG?
- What is an Emulator?
- What is pytest?
- What Is Mocha?
- What is Page Object Model?
- What is a Window in Selenium?
- What is JUnit?
- What is Headless Testing?
- What is Shadow DOM?
- What are Web Components?
- WebDriver Bidi Unveiled: What's New & How to Use It!
- What is Shift Left Testing?
- What is Responsive Testing?
- What is UI Testing?
- What is the 'git add' command?
- What is Localization?
- What are Alerts in Playwright?
- What is a JavaScript alert?
- What are Progressive Web Apps?
- GitHub vs Git Flow Explained
- What is Maven Jenkins Plugin?
- What is Parameterization?
- What is Appium?
- Role of Artificial Intelligence (AI) in Software Testing
- What is JUnit 5?
- What Are Different Selenium Wait Methods?
- How to Apply Timeout to The Class?
- What is Quality-Driven Development (QDD)?
- What are JUnit Annotations?
- Difference Between Hard Assert & Soft Assert in pytest
- What Are Flaky Tests And Where Do They Come From?
- AI-Driven Strategies in Software Testing
- Importance of Manual Testing
- What is Modal Dialog Box?
- Strategies for Accelerating Feedback
- What Are the Challenges in Test Automation?
- Best Tools for Software Developers
- What is Jenkins Pipeline?
- The Role of Human Testing in Quality Assurance
- What are WebSockets?
- JUnit 5 Architecture
- Impact of Generative AI on Testing
- Key features of WebdriverIO Waits
- How to Convert Test Scripts From JUnit 4 To JUnit 5?
- Difference between JUnit 4 and JUnit 5
- What are TestNG Annotations?
- AI Use Cases in Software Testing
- Use Cases of Machine Learning
- Most Used Git Commands
- Impact of User-Centric Testing on Product Quality and Customer Satisfaction
- Why Async and Await Are Crucial in WebdriverIO Testing
- Promises in JavaScript
- Finding Elements Using WebdriverIO Selectors
- Automating Build and Publish with Jenkins & GitHub
- Understanding Implicit Waits in Selenium
- Understanding Playwright Selectors
- Selenium Vs Cypress Vs Playwright: Key Differences at a Glance
- Setting Up JUnit 4 Dependency
- How to Handle Alerts in Selenium
- How to Minimize Browser Using the Robot Class in Selenium
- How to Test Cookies on a Website?
- Performance Testing: Backend & Frontend Strategies
- Contract Testing: Key Approaches and Best Practices
About The Video
Watch this video to learn the AI use cases in software testing!
Discover how AI is revolutionizing the field by simulating users, creating test cases, and designing user flows with unmatched precision. See how AI can execute tests, detect bugs, and perform comprehensive network and API testing.
Video Chapters
00:00 Introduction
00:04 Uses cases of AI
15:06 Closing
Key Topics Covered
AI in Creative Tasks:
AI's ability to replicate human tasks, including creative tasks such as writing screenplays, jokes, and music, better than repetitive tasks like testing login screens.
AI for Qualitative Feedback:
AI's capability to provide qualitative feedback on websites, similar to human feedback, by creating synthetic user profiles and evaluating user experiences.
Testing Automation with AI:
How AI can automate the testing process, including launching web pages, creating test cases, generating user flows, and executing tests without human intervention.
AI in Bug Detection:
AI's ability to detect bugs across various domains such as security, accessibility, functionality, performance, and more, often identifying issues that humans might overlook.
Parallel Testing:
The advantage of AI in conducting parallel tests across different areas, unlike traditional methods that require separate tools or experts for each testing domain.
Network and API Testing:
AI's capability to analyze network traffic and API calls, identifying issues such as data privacy concerns and mixed content modes.
Competitive Benchmarking:
AI's use in benchmarking app performance against competitors, providing valuable insights that can influence business decisions.
Quality Assessment:
AI's ability to assess the quality of an application, generating detailed reports and summaries based on various metrics without human input.
AI First Approach:
The concept of using AI to perform initial tasks, with humans refining and providing context as needed, rather than the other way around.
Scalability and Efficiency:
The scalability of AI in testing multiple applications simultaneously, improving efficiency and reducing the need for human testers.
The video emphasizes the transformative potential of AI in software testing, showcasing how it can streamline processes, enhance accuracy, and provide comprehensive insights that go beyond traditional methods.
LambdaTest
LambdaTest is an AI-powered test orchestration and execution platform that allows you to perform both manual and automated testing across 3000+ environments, making it a top choice among other cloud testing platforms.
