Test Intelligence uses data from your development process to optimally select test cases for changes and reveal missing test cases.
Because release cycles are getting shorter and shorter, development and test are often done in parallel. This is hard to align. In practice, this often causes test gaps, when untested changes are deployed in production. It also causes waste through useless tests that test unchanged areas of an application that cannot contain new bugs. In this talk, we will present so called change-driven testing. This approach helps to align test and development more closely to avoid these problems. Change-driven testing analyzes, which (manual or automated) tests cover which code areas, and which code areas were changed when. This allows us to select those test that best match code changes. It also reveals remaining test gaps early. We will present both the research fundamentals and demo change-driven testing on our own software.