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Bidirectional Model Transformation with Precedence Triple Graph Grammars

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Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 7349))

Abstract

Triple Graph Grammars (TGGs) are a rule-based technique with a formal background for specifying bidirectional model transformation. In practical scenarios, the unidirectional rules needed for the forward and backward transformations are automatically derived from the TGG rules in the specification, and the overall transformation process is governed by a control algorithm. Current implementations either have a worst case exponential runtime complexity, based on the number of elements to be processed, or pose such strong restrictions on the class of supported TGGs that practical real-world applications become infeasible. This paper, therefore, introduces a new class of TGGs together with a control algorithm that drops a number of practice-relevant restrictions on TGG rules and still has a polynomial runtime complexity.

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Lauder, M., Anjorin, A., Varró, G., Schürr, A. (2012). Bidirectional Model Transformation with Precedence Triple Graph Grammars. In: Vallecillo, A., Tolvanen, JP., Kindler, E., Störrle, H., Kolovos, D. (eds) Modelling Foundations and Applications. ECMFA 2012. Lecture Notes in Computer Science, vol 7349. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31491-9_22

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  • DOI: https://doi.org/10.1007/978-3-642-31491-9_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31490-2

  • Online ISBN: 978-3-642-31491-9

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