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Incremental Model Synchronization with Triple Graph Grammars

  • Conference paper
Model Driven Engineering Languages and Systems (MODELS 2006)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 4199))

Abstract

The advent of model-driven software development has put model transformations into focus. In practice, model transformations are expected to be applicable in different stages of a development process and help to consistently propagate changes between the different involved models which we refer to as model synchronization. However, most approaches do not fully support the requirements for model synchronization today and focus only on classical one-way batch-oriented transformations. In this paper, we present our approach for an incremental model transformation which supports model synchronization. Our approach employs the visual, formal, and bidirectional transformation technique of triple graph grammars. Using this declarative specification formalism, we focus on the efficient execution of the transformation rules and present our approach to achieve an incremental model transformation for synchronization purposes. We present an evaluation of our approach and demonstrate that due to the speedup for the incremental processing in the average case even larger models can be tackled.

This work was developed in the course of the Special Research Initiative 614 – Self-optimizing Concepts and Structures in Mechanical Engineering – University of Paderborn, and was published on its behalf and funded by the Deutsche Forschungs-gemeinschaft.

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Giese, H., Wagner, R. (2006). Incremental Model Synchronization with Triple Graph Grammars. In: Nierstrasz, O., Whittle, J., Harel, D., Reggio, G. (eds) Model Driven Engineering Languages and Systems. MODELS 2006. Lecture Notes in Computer Science, vol 4199. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11880240_38

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  • DOI: https://doi.org/10.1007/11880240_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-45772-5

  • Online ISBN: 978-3-540-45773-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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