A Germinal Centre Artificial Immune System for Software Test Suite Reduction
Lukas Rosenbauer, Anthony Stein, Jörg Hähner
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Abstract
Testing is a crucial part in the development of a new product. If too little testing is done, customers might discover previously undetected failures. A common approach to avoid this is to define a test suite that contains at least one test for every requirement. As the execution of manual tests and the implementation of automated ones is timeintensive, it is a profitable goal to reduce the amount of tests during the specification of the test suite whilst still covering all requirements. In this work we provide an artificial immune system to detect redundant tests. Our new approach achieves optimal results for our industrial data sets and further we are able to reduce its runtime and memory usage drastically compared to the existing germinal centre artificial immune system (GCAIS).