Abstract. In this paper we present an automated translation from the systems engineering modeling language SysML into the input languages of the NuSMV, Prism and Spin model checkers. A special focus of this work is the semantics of the communication mechanisms used in a syntactic fragment of SysML, in particular synchronous and asynchronous, broadcast and buffered communication. In order to achieve generality of our approach, which supports establishing the consistency of the translation as well as enabling easy adaption between different source and target languages, we use a model based transformation approach. In particular, we use the ATLAS Transformation Language (ATL) framework that is nicely integrated in the Eclipse Modeling Framework (EMF) and in the Meta-Object Facility. We illustrate the application of this model transformation approach using an airbag system as a case study.
Determining and computing rool causes in system failures is a significant issue in science and engineering. In this paper, we introduce a notion of causality for explaining counterexamples in system analysis based on formal models. The counterexamples are produced by checking for hazardous situations expressed in the Hennessy-Milner Logic, in the context of Labelled Transition Systemmodels. We also introduce CauseJMu, a tool for automatically identifying such causal computations within a system model. CauseJMu relies on encoding causality in terms of an extension of Hennessy-Milner Logic to recursive formulae with data. The encodings enable deciding whether a certain computation is causal or not, using the mCRL2 model checker.
In this paper we discuss the correctness of an ATL-based model transformation from the systems engineering modelling language SysML into Promela, the input language of the SPIN model checker. More precisely, we reduce showing the correctness of the transformation to showing a notion of what we refer to as observational equivalence of the SysML and the generated Promela models, respectively. This paves the way to a proof technique that could be further exploited in order to argue the correctness of model transformations from SysML to various model checkers, based on the observable actions generated by the systems under analysis.
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