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Towards Verifying Model Transformations
Author(s) -
Anantha Narayanan,
Gábor Karsai
Publication year - 2008
Publication title -
electronic notes in theoretical computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.242
H-Index - 60
ISSN - 1571-0661
DOI - 10.1016/j.entcs.2008.04.041
Subject(s) - model transformation , computer science , programming language , graph rewriting , transformation (genetics) , equivalence (formal languages) , operational semantics , semantics (computer science) , formal semantics (linguistics) , theoretical computer science , model checking , graph , artificial intelligence , mathematics , discrete mathematics , biochemistry , chemistry , consistency (knowledge bases) , gene
In model-based software development, a complete design and analysis process involves designing the system using the design language, converting it into the analysis language, and performing the verification and analysis on the analysis model. Graph transformation is increasingly being used to automate this conversion. In such a scenario, it is very important that the conversion preserves the semantics of the design model. This paper discusses an approach to verify this semantic equivalence for each transformation. We will show how to check whether a particular transformation resulted in an output model that preserves the semantics of the input model with respect to a particular property

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