Abstract
Testing Software Product Lines is very challenging due to a high degree of variability leading to an enormous number of possible products. The vast majority of today's testing approaches for Software Product Lines validate products individually using different kinds of reuse techniques for testing. Due to the enormous number of possible products, individual product testing becomes more and more unfeasible. Combinatorial testing offers one possibility to test a subset of all possible products. In this contribution we provide a detailed description of a methodology to apply combinatorial testing to a feature model of a Software Product Line. We combine graph transformation, combinatorial testing, and forward checking for that purpose. Additionally, our approach considers predefined sets of products.
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