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More Automation in Model Driven Development

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Model and Data Engineering (MEDI 2021)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 12732))

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Abstract

Model Driven Development (MDD) earned a leading role in Software Engineering but still does not play its role in practice. In MDD, models are abstractions of implementations and development is a refinement process with as much automation as possible e.g. code generation. In practice, the distance between logical models and implementations prevents automatic refinements and code generation. We revisit the MDD schema and we propose a method based on both forward engineering and reverse-engineering activities leading to Model Driven Engineering. Forward engineering is structured by layered macro-transformations parametrised by the abstractions of platforms obtained by reverse-engineering. We illustrate the method with a small distributed physical system case study. This work helps practitioners to automate MDD.

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Notes

  1. 1.

    https://aelos.ls2n.fr/at-medi2021app/.

  2. 2.

    We do not consider round-trip engineering as an automated approach for MDD but as an additional facility to align model with code.

  3. 3.

    https://www.eclipse.org/atl--/acceleo--/papyrus/.

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Author information

Authors and Affiliations

  1. LS2N CNRS UMR 6004, University of Nantes, Nantes, France

    Pascal André

  2. LCIS - Grenoble Alpes University, Valence, France

    Mohammed El Amin Tebib

Authors
  1. Pascal André
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  2. Mohammed El Amin Tebib
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Corresponding author

Correspondence to Pascal André .

Editor information

Editors and Affiliations

  1. University of Nantes, Nantes, France

    Christian Attiogbé

  2. Tallinn University of Technology, Tallinn, Estonia

    Sadok Ben Yahia

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André, P., El Amin Tebib, M. (2021). More Automation in Model Driven Development. In: Attiogbé, C., Ben Yahia, S. (eds) Model and Data Engineering. MEDI 2021. Lecture Notes in Computer Science(), vol 12732. Springer, Cham. https://doi.org/10.1007/978-3-030-78428-7_7

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  • DOI: https://doi.org/10.1007/978-3-030-78428-7_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-78427-0

  • Online ISBN: 978-3-030-78428-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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