Quantify the compute and developer-time cost of flaky tests from JUnit XML - classify flakes vs genuine failures across reruns, rank them by cost. Python 3.11, stdlib only.
-
Updated
Sep 11, 2026 - Python
Quantify the compute and developer-time cost of flaky tests from JUnit XML - classify flakes vs genuine failures across reruns, rank them by cost. Python 3.11, stdlib only.
Selects only the tests affected by your code changes by mapping per-test runtime coverage against Git diffs, cutting regression suite execution time.
Fail-closed deterministic test reuse for AI coding agents and CI on Linux/amd64.
Playwright plugin that optimizes parallel test execution by distributing test files across shards based on historical execution times rather than file count.
CI Test Selector- A web app with a predictive ML Model to identify and run only the test cases affected by code changes to optimize CI/CD runtime. Built with Python, Scikit-learn, and FastAPI.
How can SBT be used to distribute test execution easily
To associate your repository with the test-optimization topic, visit your repo's landing page and select "manage topics."