Modify, enhance, select: co-evolution of combinatorial models and test plans
Abstract
The evolution of software introduces many challenges to its testing. Considerable test maintenance efforts are dedicated to the adaptation of the tests to the changing software. As a result, over time, the test repository may inflate and drift away from an optimal test plan for the software version at hand. Combinatorial Testing (CT) is a well-known test design technique to achieve a small and effective test plan. It requires a manual definition of the test space in the form of a combinatorial model, and then automatically generates a test plan design, which maximizes the added value of each of the tests. CT is considered a best practice, however its applicability to evolving software is hardly explored.