An Adaptable TGG Interpreter for In-Memory Model Transformations

Triple graph grammars are a technique for translating and for maintaining consistency among dierent models. Imple- mentations of such triple graph grammar transformations work only for automatically generated models. Therefore, the transformations cannot be applied to third-party models. In this paper, we discuss this problem and ideas for its solution.