The End of Testing as We Know It
summary
Argues testing moves from a late bug hunt to quality engineering strategy that builds quality from day one and supplies the information stakeholders need; backs this with concrete artifacts — an Excel template mapping risks to intensities and over 100 quality measures, a taxonomy of ~20 topics from an inventory of more than 50 activities, CI/CD pipelines with team and business test stages, SBOMs, pairing, risk poker and Jira-compatible templates; advises using generative AI as a co‑pilot not an autopilot and shows the approach works in practice with real templates and workshops.
AI-written summary · about
chapters (12)
- 0:00Introduction
- 3:22Speaker background
- 8:42Testing definitions evolution
- 13:00Business value of quality
- 23:18Modern testing definition
- 27:11Quality measures groups
- 30:05Cross-functional teams
- 35:03Test design techniques
- 41:29Quality strategy and risk testing
- 45:28Test automation in pipelines
- 49:02AI in testing
- 49:46Conclusion and future
related talks
01h 02mKEYNOTE: Quality Engineering Strategy to Grow From Testing to Built-in Quality
31mQuality Engineering mindset and TBS
34mesting in modern times: A story about quality and value
35mTesting != Quality
10mThe value of testing
49mPanel Discussion: Mission-Critical Priorities in Quality Engineering: The Leader's Playbook
15mImprove continuous delivery by target quality aspects by your tests
31mZen of Testing