Predictive Test Selection: Run Only the Tests That Matter
· 17 min read
Predictive test selection uses machine learning to decide which tests to run for each code change. It works by analyzing commit history, code coverage data, and past failure patterns to rank tests by risk. High-risk tests run first, low-risk tests are deferred or skipped — giving teams faster CI feedback while maintaining defect coverage across releases.