CI/CD & Velocity
Test impact analysis (TIA)
Also known as: TIA, impact analysis
Test impact analysis (TIA) determines which tests are affected by a specific code change so CI can run just those tests instead of the whole suite.
TIA builds a mapping between code and the tests that exercise it — from instrumentation, dependency graphs, or historical data — then, for each change, selects the relevant tests. Unaffected tests are skipped or deferred, which is how teams cut test cycle time substantially on large suites.
TIA is the foundation that smart test selection prioritizes on top of. The trade-off to manage is correctness: the mapping must be conservative enough not to skip a test that would have caught the regression.
- Maps code → the tests that exercise it, then runs only the affected tests per change.
- Cuts CI cycle time substantially on large suites by skipping unaffected tests.
- The foundation smart test selection builds on — correctness depends on a conservative mapping.
Frequently asked
What is the difference between test impact analysis and smart test selection?
TIA determines which tests a change could affect (the mapping). Smart test selection adds prioritization on top — often ML-driven — to decide which of those to run first or safely defer. TIA answers “which tests are relevant?”; selection answers “in what order, and how few can we get away with?”
Related terms
Sources
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Last reviewed June 26, 2026