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Building Quality Software: AI-based testing approach with Jira and QMetry
Building Quality Software: AI-based testing approach with Jira and QMetry
Playlist
- Client Feedback & Quality Assurance in Web Design for Agencies
- Democratise Automation to Build Autonomy and Go-To-Market Faster
- Testing AWS applications locally and on CI with LocalStack
- Man Vs Machine: Finding (replicable) bugs post-release
- Shift-Left: Accelerating Quality Assurance in Agile Environments
- End-to-End Test Automation with Provar
- Fast-Tracking Project Delivery:Tips from a Recovering Perfectionist
- Crawl, Walk, Run...Fly - Take your build and test pipeline to the next level
- Revolutionizing Testing with Test Automation as a Service (TaaS)
- How Codemagic Mitigates Challenging Mobile App Testing Environments
- Fast and Furious: The Psychology of Web Performance
- Faster Feedback with Intelligent CD Pipelines
- Navigating the Future of Quality Engineering in 2024
- Using AI for Effective Test Generation
- Automated Test Execution Reporting
- How To Speed Up Our Work During Web Automation
- Building Products that Drive Better Results with Shortcut
- Shifting Accessibility Testing Left with LambdaTest and Evinced
- Testing Tomorrow: Unravelling the AI in QA Beyond Automation
- Flaky Tests from an Engineering Perspective
- Future Trends and Innovations in Gen AI for Quality Engineering
- Mastering User-Centric Mindset Unlocking Your Potential as a Tester
- From Brainwave to Inbox: Avo's Whimsical Adventure through AI-Powered Test Automation
- The Myth of βBest Practiceβ
- Impact and Potentials of GenAI to the IT Engineers
- Innovation Accelerated: The Intersection of AI and Quality Engineering
- Optimize Issue Tracking: Integrating SpiraTeam with LambdaTest
- The Power of Generative AI in Reducing Maintenance and Enhancing Speed
- Rethinking the Role of QA Profile
- Building Quality Software: AI-based testing approach with Jira and QMetry
- In-Depth with Playwright: A Modern Testing Framework
About The Video
Check out our latest LambdaTest Experience (XP) Series episode featuring ππ’π‘π’π« πππ€π‘πππ«π’π, Business Analyst at QMetry. In this session, Mihir explores how AI is revolutionizing software testing and test project management, making the process highly efficient, optimized, and fast.
He discusses which AI-enabled features will benefit software testing teams the most. He also highlights the key test management features that AI can enhance to reduce software quality cycles and meet the growing demand for speed. Don't miss this insightful discussion!
Video Chapters
00:00 Welcome!
03:55 Agenda
04:49 Understanding Test Management Landscape
09:27 What are the Software Testing Challenges
10:48 Next-Generation Test Management Capabilities
15:46 AI Use Cases for Test Management
19:45 Demo -QMetry Test Management
27:58 Benefits of AI-Enabled Test Management
29:08 Why QMetry
30:01 QnA
44:47 Conclusion
Key Topics Covered
Introduction
An introduction to the video, explaining the importance of automation testing and the features offered by LambdaTest
Frames & iFrames Overview
Detailed explanation of what frames and iFrames are, their significance in web development, and the challenges they present in automated testing.
Frames Demo
A step-by-step demonstration of how to interact with frames using WebDriverIO, showcasing real-world examples and best practices.
iFrames Demo iFrames Handling: Demonstration of handling iFrames in WebDriverIO, including switching contexts and interacting with elements within iFrames.
Frames Test
Detailed implementation of a test case for frames, showing how to effectively write and execute tests that involve frames.
iFrames Test
Building on the basics, this section delves into more complex test cases involving nested iFrames and how to manage them efficiently.
Conclusion
Summary of the key points covered in the video, best practices for handling frames and iFrames, and final thoughts on enhancing test automation with these techniques.
Related Blogs & Hubs
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