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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...
The bugbear of model checking is the explosion in the number of states as the number of processes increases. Industrial-sized problems are often intractable for model checkers. We modify the most popular model checker in use today, SPIN, by replacing its internal verification search engine by a guided, random-walk based simulator. The resulting tool is called RANSPIN. The guiding mechanism used in...
The increased availability of mobile broadband connec- tions enables the expansion of software downloads to mobile devices. This leads to greater number of available services and a better utilisation of the computational power of mobile devices. The downside of this increased software availability is an increase in the possible attack vectors. One scenario is the misuse of resources, for example,...
We present a component-based description language for heterogeneous systems composed of several data flow processing components and a unique event- based controller. Descriptions are used both for generating and deploying implementation code and for checking safety properties on the system. The only constraint is to specify the controller in a synchrounous reactive language. We propose an analysis...
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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