A Model Transformation Approach for Specifying Real-Time Systems and Its Verification Using RT-Maude

Abstract

Real-time systems must be properly validated and verified before their manufacturing and deployment in order to increase their reliability and reduce their maintenance cost. Models have been used for a long time to build complex systems, in virtually every engineering field. This is because they provide invaluable help in making important design decisions before the system is implemented. In this paper, the authors propose an approach based on model transformation to apply formal verification techniques to demonstrate the correctness of system designs. At the first step, they describe real-time systems by state chart (machine) diagrams, as source models to generate RT-Maude models (target models). The second step is to use the result models to verify the real-time systems against specified LTL properties using Maude LTL Model-Checker. This approach is illustrated through an example.

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“…Triple Graph Grammars (TGGs) are used to specify bidirectional model transformation [14]. Consistency relations can be specified with TGGs as rules [17] to control the correspondence between the source and target models. With TGGs, to guarantee that a source model is consistent with a target model, we specify a correspondence model between them, which will be used by a set of TGG rules for checking the consistency.…”