June 29, 2022, 17:00-18:30 CEST
As software systems grow, so does the number of their automated tests. As a result, we increasingly often encounter test suites that run hours or days, which is painfully slow. To get fast feedback about new bugs despite slow tests, we can run a subset of all tests more frequently. If this subset is chosen well, these tests identify most bugs very quickly.
This approach heavily depends on the selection of frequently-executed tests. We developed two different approaches for selection:
- Test-Impact Analysis
- Pareto Optimization
In this workshop, we first present the key ideas and research studies for both, and then demo them live in our analysis tool Teamscale.