ABSTRACT
In the context of model-based system engineering (MBSE), the need emerges for model verification tools aiming at detecting inconsistencies in the dynamic behavioral aspect of the design. In this paper, a model-based approach is proposed to develop model verification tools. The approach allows targeting different semantics and facilitates the reuse of legacy semantics. The idea is to enforce separation of concerns, by progressively defining a behavioral semantic through a chain of five model transformation steps. The approach ensures traceability between source models and target models, facilitating the interpretation of the verification results. We apply the approach to develop a tool to verify Capella models, allowing simulation of the data flow and state machines diagrams in order to verify their coherency. An experimentation on a clock-radio case study demonstrates the ability of the generated tool to catch design inconsistencies.
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Index Terms
- Chaining model transformations to develop a system model verification tool: application to capella state machines and data flows models
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