Dealing with Verification Data Overload
summary
Addresses how AdoptOpenJDK and Eclipse OpenJ9 handle huge volumes of test logs and console output from many tests across versions, platforms and implementations by using data visualization, filtering and categorization to refine noisy verification data. Describes instrumenting test code to reduce verbosity, applying deep learning and other technologies to process and classify results, and building efficient displays and tools that help users quickly narrow problems and monitor continuous delivery test farms.
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chapters (17)
- 0:00Start
- 2:58Degrees of Freedom
- 7:14Innovate and Collaborate
- 8:08Consolidate and Curate
- 8:26Test Framework (TestKitGen)
- 9:02Grouping & Granularity
- 10:23Jenkins scripts for testing
- 11:53Test Result Summary Service (TRSS)
- 13:30TRSS: Personalized Dashboard
- 13:54TRSS: Monitor Jenkins Pipeline Builds
- 14:22TRSS: Test Builds Result
- 15:18TRSS: Test result across all builds
- 15:36TRSS: Search test
- 15:49TRSS: Perf Dashboard
- 17:09Initial DL Experiments
- 18:05Model Building
- 18:55Plans Forward
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