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Advances in Transformation of MARTE Profile Time Concepts in Model-Driven Software Development

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Software Engineering Trends and Techniques in Intelligent Systems (CSOC 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 575))

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Abstract

UML models can be extended with time concepts from the Modeling and Analysis of Real-Time and Embedded Systems (MARTE) profile. In the Model-Driven Software Development, elements enhanced by stereotypes corresponding to time concepts can be transformed into code and assisted by appropriate library support during an application development and execution. We discuss several issues of the MARTE time concept interpretation and realization in an MDSD approach. Selected solutions were implemented in FXU, a tool for building C# applications based on UML classes and state machines. Realization of the MARTE support was verified in case studies.

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Authors and Affiliations

  1. Institute of Computer Science, Warsaw University of Technology, Nowowiejska 15/19, 00-665, Warsaw, Poland

    Anna Derezinska & Marian Szczykulski

Authors
  1. Anna Derezinska
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  2. Marian Szczykulski
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Corresponding author

Correspondence to Anna Derezinska .

Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlin, Czech Republic

    Radek Silhavy

  2. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlin, Czech Republic

    Petr Silhavy

  3. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlin, Czech Republic

    Zdenka Prokopova

  4. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlin, Czech Republic

    Roman Senkerik

  5. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlin, Czech Republic

    Zuzana Kominkova Oplatkova

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Derezinska, A., Szczykulski, M. (2017). Advances in Transformation of MARTE Profile Time Concepts in Model-Driven Software Development. In: Silhavy, R., Silhavy, P., Prokopova, Z., Senkerik, R., Kominkova Oplatkova, Z. (eds) Software Engineering Trends and Techniques in Intelligent Systems. CSOC 2017. Advances in Intelligent Systems and Computing, vol 575. Springer, Cham. https://doi.org/10.1007/978-3-319-57141-6_42

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  • DOI: https://doi.org/10.1007/978-3-319-57141-6_42

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-57140-9

  • Online ISBN: 978-3-319-57141-6

  • eBook Packages: EngineeringEngineering (R0)

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