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On the Automated Derivation of Domain-Specific UML Profiles

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Modelling Foundations and Applications (ECMFA 2017)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 10376))

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Abstract

The model-driven engineering (MDE) of domain-specific languages (DSL) is becoming increasingly important. In this area, metamodels are the central artefacts, defining the syntax and semantics of DSLs. Different technologies are available to create metamodels, with the Meta Object Facility (MOF) being one of them. Apart from other uses, a MOF-based metamodel can serve as input for an automated derivation of a profile for the Unified Modeling Language (UML).

In this paper, we propose a novel mapping of redefined or subsetted metaclass attributes, so that the values of their corresponding stereotype attributes can be computed at runtime by employing the Object Constraint Language (OCL). This is achieved by an automatic introduction of additional OCL expressions. A further contribution is the transfer of the static semantics of a metamodel to its derived UML profile. This transfer is realized by an automatic update of existing OCL constructs in such a way that they can be utilized for a generated UML profile without any modification.

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Notes

  1. 1.

    https://eclipse.org/modeling/mdt/.

  2. 2.

    Names within quotation marks and written in italic style refer to UML elements or attributes as specified by the UML Superstructure [18].

  3. 3.

    Homepage of the ITU-T Z-series Recommendations: http://www.itu.int/itu-t/recommendations/index.aspx?ser=Z.

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Acknowledgments

We thank Gerald Lüttgen of the Software Technologies Research Group at the University of Bamberg, Germany, for his many valuable remarks on this paper. Furthermore, we also thank Richard Paige of the Department of Computer Science at the University of York, U.K., for several discussions on the paper’s topic.

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  1. Software Technologies Research Group, University of Bamberg, Bamberg, Germany

    Alexander Kraas

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  1. Alexander Kraas
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Correspondence to Alexander Kraas .

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  1. University of Paderborn, Paderborn, Germany

    Anthony Anjorin

  2. Tecnalia Research and Innovation, Derio, Spain

    Huáscar Espinoza

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Kraas, A. (2017). On the Automated Derivation of Domain-Specific UML Profiles. In: Anjorin, A., Espinoza, H. (eds) Modelling Foundations and Applications. ECMFA 2017. Lecture Notes in Computer Science(), vol 10376. Springer, Cham. https://doi.org/10.1007/978-3-319-61482-3_1

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  • DOI: https://doi.org/10.1007/978-3-319-61482-3_1

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  • Online ISBN: 978-3-319-61482-3

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