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Experiments for your Android builds driven by Gradle Profiler

Talkat Android Summit 2020 · 2020-10-08..10-09· [android, devops-and-delivery]
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slides:none on file

Uses Gradle Profiler to run reproducible benchmarks and saves CSV reports, running 4 warm‑up 15 measure builds per scenario; compares base vs PR with a left‑tailed Student t test and reports p‑value > 0.05 when JDK11 is actually slower so there is no strong evidence of improvement. Also shows a Gradle/tooling bump with p‑value ≈ 0 indicating a real speedup, and publishes a small Python tool (pip) to automate the t‑test.

AI-written summary · about

  1. 0:00Intro
  2. 4:58Measuring Gradle builds
  3. 7:37Installing Gradle Profiler
  4. 11:06Demo
  5. 15:34Scenarios
  6. 16:36Results
  7. 20:18Statistical Inference
  8. 23:39Statistical significance
  9. 25:10Probability functions
  10. 26:39Pvalue
  11. 28:22Tail analysis
  12. 29:55Parrot test
  13. 30:44Tools
  14. 33:16Example
  15. 38:10Alternative Hypothesis
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