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UML2Alloy: A Challenging Model Transformation

  • Conference paper
Model Driven Engineering Languages and Systems (MODELS 2007)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 4735))

Abstract

Alloy is a formal language, which has been applied to modelling of systems in a wide range of application domains. It is supported by Alloy Analyzer, a tool, which allows fully automated analysis. As a result, creating Alloy code from a UML model provides the opportunity to exploit analysis capabilities of the Alloy Analyzer to discover possible design flaws at early stages of the software development. Our research makes use of model based techniques for the automated transformation of UML class diagrams with OCL constraints to Alloy code. The paper demonstrates challenging aspects of the model transformation, which originate in fundamental differences between UML and Alloy. We shall discuss some of the differences and illustrate their implications on the model transformation process. The presented approach is explained via an example of a secure e-business system.

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Authors and Affiliations

  1. School of Computer Science, University of Birmingham, Edgbaston, Birmingham, UK

    Kyriakos Anastasakis & Behzad Bordbar

  2. Computer Science Department, Colorado State University, Fort Collins, Colorado, USA

    Geri Georg & Indrakshi Ray

Authors
  1. Kyriakos Anastasakis
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  2. Behzad Bordbar
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  3. Geri Georg
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  4. Indrakshi Ray
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Editor information

Gregor Engels Bill Opdyke Douglas C. Schmidt Frank Weil

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© 2007 Springer-Verlag Berlin Heidelberg

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Anastasakis, K., Bordbar, B., Georg, G., Ray, I. (2007). UML2Alloy: A Challenging Model Transformation. In: Engels, G., Opdyke, B., Schmidt, D.C., Weil, F. (eds) Model Driven Engineering Languages and Systems. MODELS 2007. Lecture Notes in Computer Science, vol 4735. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75209-7_30

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  • DOI: https://doi.org/10.1007/978-3-540-75209-7_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-75208-0

  • Online ISBN: 978-3-540-75209-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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