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Towards a Family of Model Transformation Languages

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

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

Abstract

Many model transformation languages of different nature have been proposed during the last years, each one of them suitable for a certain kind of transformation task. However, a complex transformation problem may not fall into a single transformation category, making the solution written in the chosen transformation language suboptimal, as some concerns cannot be handled naturally.

To tackle this issue, we propose to define a model transformation tool as a family of model transformation languages. Each member of the family is a simple language intended to deal with a particular kind of transformation task. In this paper we discuss the different issues involved, such as design decisions, interoperability among languages, and composability. We illustrate the paper with a transformation from UML and OCL to Java, in which languages for pattern matching, mapping, attribution and target-oriented transformations are used. Finally, the approach is validated with a proof-of-concept implementation.

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Author information

Authors and Affiliations

  1. Universidad Autónoma de Madrid, Spain

    Jesús Sánchez Cuadrado

Authors
  1. Jesús Sánchez Cuadrado
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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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Sánchez Cuadrado, J. (2012). Towards a Family of Model Transformation Languages. 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_12

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  • DOI: https://doi.org/10.1007/978-3-642-30476-7_12

  • 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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