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.

Speakers

• Dr. Elmar Jürgens - Co-Founder of CQSE and deals with quality analyses of software his whole professional life.
• Fabian Streitel - Leads the Pilot Team at CQSE and has successfully set up Test-Impact Analysis and Pareto Optimization with many customers.