Panel Discussion: Future of Testing: Will Test Automation Put Manual Testing into the Shade?
summary
Panelists argue specific, testable claims: machine learning can predict defects from five to ten releases of history and can auto-recover broken UI locators by finding alternative selectors but fails when multiple elements change; some areas remain manual-only like database failover and security testing and complex exploratory judgment; an experimented framework identifies objects and tolerates single selector changes yet breaks on ambiguous elements; timelines include an AI singularity 2030–40 projection and repeated warnings about automation‑induced skill loss.
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chapters (28)
- 0:00Introduction
- 1:30Panel Introductions
- 2:25Who are the panelists
- 3:00Manual vs Automation
- 3:57Waterfall vs Automation
- 6:52Will Test Automation Put Manual Testing into the Shade
- 8:20Audience Comments
- 9:10Using AI for Testing
- 11:19Will AI take over testing
- 13:05COBOL
- 13:42Testing Framework
- 15:30AI Singularity
- 17:00Why dont developers test
- 20:09Crossfunctional team
- 21:27QA role
- 23:09Regression pack
- 23:59Will AI take over
- 24:43Manual testing vs automated testing
- 25:54Sorcerers Apprentice
- 27:14What are we good at
- 28:44Machine Learning
- 30:30Why Testers
- 31:55Easy Software
- 33:45Independent Testers
- 35:28Summary
- 36:24Skills
- 37:18Quality
- 37:45User Acceptance
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