QA to QE: Scaling Quality with Ownership, Code, and Culture
summary
QA practice moves to QE by embedding ownership, automation, and metrics across the delivery pipeline; an automation audit, added unit tests, API slicing, removing redundant and flaky tests, mocking third‑party calls, externalized data, more parallel VMs and prioritized happy‑paths cut a 5,000‑test regression from 8+ hours to ~2 hours. GenAI aids test reviews, edge‑case discovery and low‑code conversion via Zephyr Scale low‑code automation, while Copilot and Claude for test coding speed refactoring, root‑cause analysis and API scenario generation.
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chapters (10)
- 0:00QA to QE transformation
- 3:14Agenda
- 4:19Evolution QA to QE
- 7:50Continuous testing & quality ops
- 13:37Automation challenges
- 18:14QA QE ML for usability
- 22:31GenAI in quality practices
- 28:37Future of GenAI & QE
- 32:39Key takeaways
- 35:53Q&A
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