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Abstract. Bounded model checking (BMC) complements classical model checking by an efficient technique for checking error-freedom of bounded system paths. Usually, BMC approaches reduce the verification problem to propositional satisfiability. With the recent advances in SAT solving, this has proven to be a fast analysis.In this paper we develop a bounded model checking technique for graph transformation systems. Graph transformation systems (GTSs) provide an intuitive, visual way of specifying system models and their structural changes. An analysis of such models -however -remains difficult since GTSs often give rise to infinite state spaces. In our BMC technique we use first-order instead of propositional logic for encoding complex graph structures and rules. Today's off-the-shelf SMT solvers can then readily be employed for satisfiability solving. The encoding heavily employs the concept of uninterpreted function symbols for representing edge labels. We have proven soundness of the encoding and report on experiments with different case studies.

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Abstract-Model transformation is a key concept in modeldriven software engineering. The definition of model transformations is usually based on meta-models describing the abstract syntax of languages. While meta-models are thereby able to abstract from superfluous details of concrete syntax, they often loose structural information inherent in languages, like information on model elements always occurring together in particular shapes. As a consequence, model transformations cannot naturally re-use language structures, thus leading to unnecessary complexity in their development as well as analysis.In this paper, we propose a new approach to model transformation development which allows to simplify and improve the quality of the developed transformations via the exploitation of the languages' structures. The approach is based on context-free grammars and transformations defined by pairing productions of source and target grammars. We show that such transformations exhibit three important characteristics: they are sound, complete and deterministic.

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