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Model Synchronization at Work: Keeping SysML and AUTOSAR Models Consistent

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Graph Transformations and Model-Driven Engineering

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 5765))

Abstract

During the overall development of complex engineering systems different modeling notations are employed. For example, in the domain of automotive systems system engineering models are employed quite early to capture the requirements and basic structuring of the entire system, while software engineering models are used later on to describe the concrete software architecture. Each model helps in addressing the specific design issue with appropriate notations and at a suitable level of abstraction. However, when we step forward from system design to the software design, the engineers have to ensure that all decisions captured in the system design model are correctly transferred to the software engineering model. Even worse, when changes occur later on in either model, today the consistency has to be reestablished in a cumbersome manual step. In this paper, we present how model synchronization and consistency rules can be applied to automate this task and ensure that the different models are kept consistent. We also introduce a general approach for model synchronization. Besides synchronization, the approach consists of tool adapters as well as consistency rules covering the overlap between the synchronized parts of a model and the rest. We present the model synchronization algorithm based on triple graph grammars in detail and further exemplify the general approach by means of a model synchronization solution between system engineering models in SysML and software engineering models in AUTOSAR which has been developed for an industrial partner.

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Giese, H., Hildebrandt, S., Neumann, S. (2010). Model Synchronization at Work: Keeping SysML and AUTOSAR Models Consistent. In: Engels, G., Lewerentz, C., Schäfer, W., Schürr, A., Westfechtel, B. (eds) Graph Transformations and Model-Driven Engineering. Lecture Notes in Computer Science, vol 5765. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17322-6_24

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  • DOI: https://doi.org/10.1007/978-3-642-17322-6_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17321-9

  • Online ISBN: 978-3-642-17322-6

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