Model-based development is increasingly becoming the method of choice for developing embedded systems for applications in automotive and aerospace industries. It relies on tool-suites consisting of a variety of modelprocessing tools like simulators, model-translators and code-generators. The correctness of these tools used in the development process is a key requirement for safety critical applications. This paper proposes a novel testing methodology for the rigorous verification of model processing tools.The proposed methodology takes as input the syntactic and semantic meta-model of a modeling language, expressed in the form of inference rules. Using a coverage criteria over this meta-model, it generates test-models, and test-inputs for these test-models. Apart from testing the syntactic aspects of the translation, our method aims at testing subtle semantic interactions of the modeling language that are potentially mistranslated by the model-processing tools.We illustrate the methodology with a simple prototypical process calculus. We also report on the experiments carried out with Stateflow, a variant of hierarchical state-machines implemented in the Matlab/Simulink tool-suite.
End-to-end latency of messages is an important design parameter that needs to be within specified bounds for the correct functioning of distributed real-time control systems. In this paper we give a formal definition of end-to-end latency, and use this as the basis for checking whether a stipulated deadline is violated within a bounded time. For unbounded verification, we model the system as a set of communicating Timed Automata, and perform reachability analysis. The proposed method takes into account the drift of clocks which is shown to affect the latency appreciably. The method has been tested on a medium sized automotive example.
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