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Analysis of UML Stereotypes within the UML Metamodel

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≪UML≫ 2002 — The Unified Modeling Language (UML 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2460))

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Abstract

Stereotypes are a powerful and potentially expressive extension mechanism in the Unified Modeling Language (UML). However, it seems that stereotypes are difficult to handle because using stereotypes needs an understanding of the UML metamodel and, in particular, an understanding of OCL constraints. Stereotypes are often applied in a wrong or at least sloppy way without proper declaration. There are also differences between the various versions of UML with respect to subtle details in the stereotype part. A graphical syntax for stereotypes including examples has been introduced only late in UML 1.4. Other difficulties are that constraints are used in the stereotype context in two completely different ways and that no full support of stereotypes is yet offered by tools. The paper points out these difficulties in detail, analyses the UML metamodel part dealing with stereotypes, and makes various suggestions for improving the definition and use of stereotypes.

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Author information

Authors and Affiliations

  1. University of Bremen, Bremen

    Martin Gogolla

  2. University of Technology, Sydney

    Brian Henderson-Sellers

Authors
  1. Martin Gogolla
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  2. Brian Henderson-Sellers
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Editor information

Editors and Affiliations

  1. Irisa - Univesité de Rennes 1, Campus de Beaulieu, 35042, Rennes cedex, France

    Jean-Marc Jézéquel

  2. Fakultät Informatik, Technische Universität Dresden, Mommsenstr. 13, 01062, Dresden, Germany

    Heinrich Hussmann

  3. IBM United Kingdom Ltd, Sunbury House, 79 Staines Road West Sunbury-on-Thames, TW16 7AN, Middlesex, UK

    Stephen Cook

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© 2002 Springer-Verlag Berlin Heidelberg

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Gogolla, M., Henderson-Sellers, B. (2002). Analysis of UML Stereotypes within the UML Metamodel. In: Jézéquel, JM., Hussmann, H., Cook, S. (eds) ≪UML≫ 2002 — The Unified Modeling Language. UML 2002. Lecture Notes in Computer Science, vol 2460. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45800-X_8

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  • DOI: https://doi.org/10.1007/3-540-45800-X_8

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44254-7

  • Online ISBN: 978-3-540-45800-5

  • eBook Packages: Springer Book Archive

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