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Teaching Model Driven Engineering from a Relational Database Perspective

  • Conference paper
Model-Driven Engineering Languages and Systems (MODELS 2013)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 8107))

Abstract

We reinterpret MDE from the viewpoint of relational databases to provide an alternative way to teach, understand, and demonstrate MDE using concepts and technologies that should be familiar to undergraduates. We use (1) relational databases to express models and metamodels, (2) Prolog to express constraints and M2M transformations, (3) Java tools to implement M2T and T2M transformations, and (4) OO shell-scripting languages to compose MDE transformations. Case studies demonstrate the viability of our approach.

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Author information

Authors and Affiliations

  1. University of Texas at Austin, Austin, TX, 78712, USA

    Don Batory & Eric Latimer

  2. University of the Basque Country (UPV/EHU), San Sebastian, Spain

    Maider Azanza

Authors
  1. Don Batory
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  2. Eric Latimer
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  3. Maider Azanza
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Editor information

Editors and Affiliations

  1. Faculdade de Ciências e Tecnologia, Departamento de Informática, Universidade Nova de Lisboa, 2829-516, Caparica, Portugal

    Ana Moreira

  2. Institut für Mathematik, fortiss / Technische Universität München, Guerickestraße 25, 80805, München, Germany

    Bernhard Schätz

  3. Department of Computer Science, University of Alabama, Box 870290, 35487-0290, Tuscaloosa, AL, USA

    Jeff Gray

  4. ETSI Informática, Universidad de Málaga, Campus de Teatinos, Bulevar Louis Pasteur 35, 29071, Málaga, Spain

    Antonio Vallecillo

  5. School of Computing and Information Sciences, College of Engineering and Computing, Florida International University, 33199, Miami, FL, USA

    Peter Clarke

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Batory, D., Latimer, E., Azanza, M. (2013). Teaching Model Driven Engineering from a Relational Database Perspective. In: Moreira, A., Schätz, B., Gray, J., Vallecillo, A., Clarke, P. (eds) Model-Driven Engineering Languages and Systems. MODELS 2013. Lecture Notes in Computer Science, vol 8107. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41533-3_8

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  • DOI: https://doi.org/10.1007/978-3-642-41533-3_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41532-6

  • Online ISBN: 978-3-642-41533-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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