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Test Impact Analysis is an approach to obtain a subset of tests impacted bycode changes. This approach is mainly applied to unit testing where the linkbetween the code and its associated tests is easy to obtain. On the integrationlevel, however, it is not straightforward to find such a link programmatically,especially when the integration tests are held into separate repositories. Wepropose an approach for selecting integration tests based on the runtimeanalysis of code changes to reduce the test execution overhead. We provide aset of tools and a framework that can be plugged into existing CI/CD pipelines.We have evaluated the approach on a range of open-source Java programs andfound $\approx$50\% reduction in tests on average, and above 80\% in a fewcases. We have also applied the approach to a large-scale commercial system inproduction and found similar results.

An approach for Test Impact Analysis on the Integration Level in Java programs