A transformation-driven approach to automate feedback verification results

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Abstract

The integration of formal verification methods in modeling activities is a key issue to ensure the correctness of complex system design models. In this purpose, the most common approach consists in defining a translational semantics mapping the abstract syntax of the designer dedicated Domain-Specific Modeling Language (DSML) to a formal verification dedicated semantic domain in order to reuse the available powerful verification technologies. Formal verification is thus usually achieved using model transformations. However, the verification results are available in the formal domain which significantly impairs their use by the system designer which is usually not an expert of the formal technologies. In this paper, we introduce a novel approach based on Higher-Order transformations that analyze and instrument the transformation that expresses the semantics in order to produce traceability data to automatize the back propagation of verification results to the DSML end-user. © Springer-Verlag 2013.

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APA

Zalila, F., Creǵut, X., & Pantel, M. (2013). A transformation-driven approach to automate feedback verification results. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8216 LNCS, pp. 266–277). Springer Verlag. https://doi.org/10.1007/978-3-642-41366-7_23

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