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A Metamodel Family for Role-Based Modeling and Programming Languages

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Software Language Engineering (SLE 2014)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 8706))

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Abstract

Role-based modeling has been proposed almost 40 years ago as a means to model complex and dynamic domains, because roles are able to capture both context-dependent and collaborative behavior of objects. Unfortunately, while several researchers have introduced the notion of roles to modeling and programming languages, only few have captured both the relational and the context-dependent nature of roles. In this work, we classify various proposals since 2000 and show the discontinuity and fragmentation of the whole research field. To overcome discontinuity, we propose a family of metamodels for role-based modeling languages. Each family member corresponds to a design decision captured in a feature model. In this way, it becomes feasible to generate a metamodel for each role-based approach. This allows for the combination and improvement of the different role-based modeling and programming languages and paves the way to reconcile the research field.

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Author information

Authors and Affiliations

  1. Software Technology Group, Technische Universität Dresden, Dresden, Germany

    Thomas Kühn, Max Leuthäuser, Sebastian Götz, Christoph Seidl & Uwe Aßmann

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  1. Thomas Kühn
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  2. Max Leuthäuser
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  3. Sebastian Götz
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  4. Christoph Seidl
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  5. Uwe Aßmann
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Editor information

Editors and Affiliations

  1. University of Rennes 1, IRISA, Inria,, France

    Benoît Combemale

  2. Victoria University of Wellington, New Zealand

    David J. Pearce

  3. IRISA, Rennes, France

    Olivier Barais

  4. University of Amsterdam, The Netherlands

    Jurgen J. Vinju

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Kühn, T., Leuthäuser, M., Götz, S., Seidl, C., Aßmann, U. (2014). A Metamodel Family for Role-Based Modeling and Programming Languages. In: Combemale, B., Pearce, D.J., Barais, O., Vinju, J.J. (eds) Software Language Engineering. SLE 2014. Lecture Notes in Computer Science, vol 8706. Springer, Cham. https://doi.org/10.1007/978-3-319-11245-9_8

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  • DOI: https://doi.org/10.1007/978-3-319-11245-9_8

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11244-2

  • Online ISBN: 978-3-319-11245-9

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