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Reusable and Correct Endogenous Model Transformations

  • Conference paper
Theory and Practice of Model Transformations (ICMT 2012)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 7307))

Abstract

Correctness of model transformations is a prerequisite for generating correct implementations from models. Given refining model transformations that preserve desirable properties, models can be transformed into correct-by-construction implementations. However, proving that model transformations preserve properties is far from trivial. Therefore, we aim for simple correctness proofs by designing model transformations that are as fine-grained as possible. Furthermore, we advocate the reuse of model transformations to reduce the number of proofs. For a simple domain-specific language, SLCO, we define a formal framework to reason about the correctness, reusability, and composition of the fine-grained model transformations used to transform a given model to three target languages: NQC, Promela and POOSL. The correctness criterion induces that the original model and the resulting model obtained after a proper sequence of transformations have the same observable behavior.

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Authors and Affiliations

  1. Department of Mathematics and Computer Science, Eindhoven University of Technology, P.O. Box 513, 5600 MB, Eindhoven, The Netherlands

    Suzana Andova, Mark G. J. van den Brand & Luc Engelen

Authors
  1. Suzana Andova
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  2. Mark G. J. van den Brand
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  3. Luc Engelen
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Editor information

Editors and Affiliations

  1. National Institute of Informatics, 2-1-2 Hitotsubashi, 101-8430, Chiyoda-ku, Tokyo, Japan

    Zhenjiang Hu

  2. Department of Computer Science, Universidad Autónoma de Madrid, Campus de Cantoblanco, 28049, Madrid, Spain

    Juan de Lara

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© 2012 Springer-Verlag Berlin Heidelberg

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Andova, S., van den Brand, M.G.J., Engelen, L. (2012). Reusable and Correct Endogenous Model Transformations. In: Hu, Z., de Lara, J. (eds) Theory and Practice of Model Transformations. ICMT 2012. Lecture Notes in Computer Science, vol 7307. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30476-7_5

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  • DOI: https://doi.org/10.1007/978-3-642-30476-7_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30475-0

  • Online ISBN: 978-3-642-30476-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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