WERNER JANJIC

Over the last two decades, software reuse and code recommendation has received a wide variety of a attention in academia and industry, but the research conducted in this area to date has focused on the reuse of application code rather than on the reuse of tests. By switching this focus, this thesis paves the way for the automated extraction of test data and knowledge from previous software projects. In particular, it presents a recommendation approach for software tests that leverages lessons learned from traditional software reuse to make test case reuse suggestions to software engineers while they are working. In contrast to most existing testing-assistance tools, which provide ex-post assistance to test developers in the form of coverage assessments and test quality evaluations, our approach offers an automated, proactive, non-intrusive test recommendation system for efficient software test development.

Primary location: San Francisco United States