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Variability models (e.g., feature models) are a common way for therepresentation of variabilities and commonalities of software artifacts. Suchmodels can be translated to a logical representation and thus allow differentoperations for quality assurance and other types of model property analysis.Specifically, complex and often large-scale feature models can become faulty,i.e., do not represent the expected variability properties of the underlyingsoftware artifact. In this paper, we introduce DirectDebug which is a directdiagnosis approach to the automated testing and debugging of variabilitymodels. The algorithm helps software engineers by supporting an automatedidentification of faulty constraints responsible for an unintended behavior ofa variability model. This approach can significantly decrease development andmaintenance efforts for such models.

DirectDebug: Automated Testing and Debugging of Feature Models