Predictive Test Selection vs. Test Impact Analysis: What’s the Difference? (opens in new tab)

Running the entire test suite on every code change doesn't scale. As codebases grow and CI/CD pipelines handle more frequent commits, teams need smarter ways to decide which tests to run and when. This is normally done in one of two ways: test impact analysis (TIA) and predictive test selection. For both, the aim is to run a relevant subset of tests rather than all of them, but they work in fundamentally different ways. What Is Test Impact Analysis? Test impact analysis uses dependency maps a...