Performance Testing Without Human Intervention
summary
Describes an automated performance-testing pipeline that compares results from the same test script across a 10-dimensional metric space, clusters similar runs, and selects the best-performing cluster. New test runs are classified against those clusters and marked successful if they fall into the best cluster, enabling automated pass/fail decisions without human intervention.
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chapters (7)
- 0:00Introduction
- 1:51Performance testing challenges
- 8:20Solving with machine learning
- 16:48Demo start
- 23:28Clustering test results
- 30:38How the app works
- 32:43Results and benefits
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