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Dependability is often a very abstract concept. The reason is that dependability implications shall be very rare and are often not even wanted to happen during testing. In particular for software-intensive systems, it is very hard to find correct causal relationships/minimal cut sets. Modern model-based approaches help here by computing for example minimal cut sets automatically. However, these methods...
Rigorous quality demonstration is important when developing safety-critical software such as a reactor protection system (RPS) for a nuclear power plant. Although using formal methods such as formal modeling and verification is strongly recommended, domain experts often reject formal methods for four reasons: there are too many candidate techniques, the notations appear complex, the tools often work...
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...
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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