Utilizing Ontologies for Combinatorial Testing

Test case generation using combinatorial testing requires an input model comprising parameters and their ranges of possible values, i.e., their domains, which might be appropriate for ordinary applications but not for more sophisticated application domains like autonomous systems. Therefore, we discuss the use of ontologies for modeling and its utilization for combinatorial testing. We focus on ontologies describing the interface between the system under test and its environment, discuss the rationale behind such an approach, and introduce the basic algorithm for mapping ontologies to input models. We further consider modeling challenges and provide some initial modeling principles.