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An adaptable tgg interpreter for in-memory model transformation. Unpublished manuscript (2004).
| Content Provider | CiteSeerX |
|---|---|
| Author | Kindler, Ekkart Rubin, Vladimir Wagner, Robert |
| Abstract | Triple graph grammars are a technique for translating and for maintaining consistency among different 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. 1. |
| File Format | |
| Publisher Date | 2004-01-01 |
| Access Restriction | Open |
| Subject Keyword | In-memory Model Transformation Adaptable Tgg Interpreter Triple Graph Grammar Third-party Model Different Model Triple Graph Grammar Transformation |
| Content Type | Text |