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Pattern-Based Refinement Generation Through Domain Specific Languages

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Rigorous State-Based Methods (ABZ 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14010))

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Abstract

The Event-B method is generally used to build models incrementally by integrating high level requirements. However, developing correct systems is not a cakewalk and remains a challenging task. In this paper, we focus on the preliminary steps of the development of safety-critical systems. We investigate how patterns could be used to generate refinements automatically in the context of an Event-B development. Our main concerns are first to simplify the development of such systems by the use of patterns, and second to produce Event-B machines such that the user can choose to refine them additionally.

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Author information

Authors and Affiliations

  1. Higher Colleges of Technology, Ras Al Khaimah, UAE

    Elie Fares

  2. IRIT UPS Université de Toulouse, Toulouse, France

    Elie Fares & Paul Jean Bodeveix

  3. IRIT CNRS, Université de Toulouse, Toulouse, France

    Paul Jean Bodeveix & Mamoun Filali

Authors
  1. Elie Fares
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  2. Paul Jean Bodeveix
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  3. Mamoun Filali
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Corresponding author

Correspondence to Elie Fares .

Editor information

Editors and Affiliations

  1. Simon Fraser University, Burnaby, BC, Canada

    Uwe Glässer

  2. University of Minho, Braga, Portugal

    Jose Creissac Campos

  3. Université de Lorraine, Vandoeuvre-lès-Nancy, France

    Dominique Méry

  4. University of Toulouse, Toulouse, France

    Philippe Palanque

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Fares, E., Bodeveix, P.J., Filali, M. (2023). Pattern-Based Refinement Generation Through Domain Specific Languages. In: Glässer, U., Creissac Campos, J., Méry, D., Palanque, P. (eds) Rigorous State-Based Methods. ABZ 2023. Lecture Notes in Computer Science, vol 14010. Springer, Cham. https://doi.org/10.1007/978-3-031-33163-3_3

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  • DOI: https://doi.org/10.1007/978-3-031-33163-3_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-33162-6

  • Online ISBN: 978-3-031-33163-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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