Graph transformation concepts for meta-model evolution guaranteeing permanent type conformance throughout model migration

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Abstract

Meta-modeling has become the key technology to define domain-specific modeling languages for model-driven engineering. However, these modeling languages can change quite frequently which requires the evolution of their meta-models as well as the co-evolution (or migration) of their models. In this paper, we present an approach towards meta-model model co-evolution based on graph transformation concepts that targets to consider this challenge in a formal setting. Models are specified as graphs while model relations, especially type-instance relations, are defined by graph morphisms specifying type conformance of models to their meta-models. We present a basic approach to automatic deduction of model migrations from meta-model evolution steps which are specified by single transformation rules. Throughout that migration process, type conformance is ensured permanently. A first implementation is given using existing technology, namely the Eclipse Modeling Framework (EMF) and the EMF model transformation tool Henshin which is based on graph transformation concepts. Our evolution approach is presented at two small evolution scenarios for Petri nets and state machines. © 2012 Springer-Verlag.

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Mantz, F., Jurack, S., & Taentzer, G. (2012). Graph transformation concepts for meta-model evolution guaranteeing permanent type conformance throughout model migration. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7233 LNCS, pp. 3–18). https://doi.org/10.1007/978-3-642-34176-2_3

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