How AI is transforming Software Testing
summary
An AI-based front-end testing tool (Testim) actually extracts multiple attributes per DOM element, builds ranked location strategies and self-heals when attributes change — a live demo changes a “Select destination” label and confidence falls from 100% to 83% while the test keeps running and screenshots show the mismatch. The talk shows a concrete fix for the biggest pain: test maintenance, plus roadmaps for dynamic locators, autonomous testing from production flows, UI-driven TDD and recorded server-response mocking.
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chapters (15)
- 0:00Start
- 0:29About My Company and What I Do
- 1:29Current Challenges with Software Testing
- 1:42Basics of Ai
- 2:20How Software Testing Has Evolved in the Past Few Decades
- 7:13The Current Challenges with Software Testing
- 8:28The Challenge of Skill Set
- 13:07What Is Machine Learning
- 13:42Deep Learning
- 22:49How We Use Ai and Software Testing
- 32:52Coverage Gap in Software Testing
- 33:39Autonomous Testing
- 34:55Ui Tdd
- 36:36Automatic Response
- 42:53Dynamic Locators
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