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Model-based testing techniques select test cases according to test goals, which might be coverage criteria or mutation adequacy. Complex criteria and large models lead to large test suites, and a test case created for one coverage item might cover several other items as well. Therefore, test case generation is optimized in order to avoid unnecessary test cases and minimize the test generation and...
Some approaches to Model-Based Testing focus on test case generation from assertions (operation pre- and post- conditions) and invariants, e.g., written in the Object Constraint Language. In such a setting, assertions must be validated. Validation is often carried out via executing scenarios wherein system operations are applied, to detect unsatisfied invariants or failed preconditions. This paper...
The definition of an oracle function for model transformation is challenging because of the very complex nature of models resulting from a transformation. Validating the correctness of an output model requires checking a large number of properties on the structure and semantics of this model. The oracle function can thus be very complex if it checks every property. In this paper, we identify and discuss...
Model-driven engineering is a software development method to model applications at a high level of abstraction and introduce platform specific details automatically using model transformations. Similarly, models specified in human-readable languages can be mapped automatically onto languages that support the analysis of formal properties. In an industrial context, the transformations that automate...
Systems verification requires first to model the system to be verified, then to formalize the properties to be satisfied, and finally to describe the behaviour of the environment. This last point, known as the proof context, is often neglected. It could, however, be of great importance in order to reduce the complexity of the proof. The question is then how to formalize such a proof context. This...
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