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Executable Modeling for Reactive Programming

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Model-Driven Engineering and Software Development (MODELSWARD 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 991))

Abstract

After thirty years, it is reasonably time to critically look at Model Driven Software Development (MDSD). Who may nowadays claim that MDSD has been massively adopted by the software industry? Who may show numbers demonstrating that MDSD allowed/allows massive cost savings in daily software development, but, above all, software maintenance? This paper aims at investigating executable modeling as a balanced articulation between programming and modeling. Models at run-time embody the promising generation of executable models, provided that their usages are thought and intended to cost-effective software development. To envisage this not-yet-come success, this paper emphasizes expectations from the software industry about “reactive programming”. Practically, executable modeling standards like the SCXML W3C standard or the BPMN OMG standard are relevant supports for reactive programming, but success conditions still need to be defined.

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Acknowledgements

This work is partially sponsored by the European ECSEL MegaM@Rt2 (MegaModelling at Runtime) project (megamart2-ecsel.eu).

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Authors and Affiliations

  1. Univ. of Pau, Av. de L’Université, 64000, Pau, France

    Franck Barbier & Eric Cariou

Authors
  1. Franck Barbier
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  2. Eric Cariou
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Corresponding author

Correspondence to Franck Barbier .

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Editors and Affiliations

  1. Université d’Angers/ESEO, Angers, France

    Slimane Hammoudi

  2. University of Twente, Enschede, The Netherlands

    Luís Ferreira Pires

  3. Malina Software Corp., Nepean, ON, Canada

    Bran Selic

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Barbier, F., Cariou, E. (2019). Executable Modeling for Reactive Programming. In: Hammoudi, S., Pires, L., Selic, B. (eds) Model-Driven Engineering and Software Development. MODELSWARD 2018. Communications in Computer and Information Science, vol 991. Springer, Cham. https://doi.org/10.1007/978-3-030-11030-7_1

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  • DOI: https://doi.org/10.1007/978-3-030-11030-7_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-11029-1

  • Online ISBN: 978-3-030-11030-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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