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Properties of Stereotypes from the Perspective of Their Role in Designs

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Model Driven Engineering Languages and Systems (MODELS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 3713))

Abstract

Stereotypes in object-oriented software development can be perceived in various ways and they can be used for various purposes. As a consequence of these variations, assessing quality of stereotypes needs to be purpose-specific. In this paper we identify eight types of stereotypes and provide a set of criteria for assessing quality of stereotypes. The criteria for each type are formed by a set of properties that characterizes its stereotypes. The identified types are based on the purpose of each stereotype (its role in designs) and its expressiveness. We identified the types of stereotypes and their properties in an empirical way by investigating stereotypes from UML profiles used in industrial software development. The properties are intended to be used in our further research for developing guidelines for creating and using stereotypes in a more efficient way.

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Author information

Authors and Affiliations

  1. Department of Systems and Software Engineering School of Engineering, Blekinge Institute of Technology, Ronneby, Sweden

    Miroslaw Staron & Ludwik Kuzniarz

Authors
  1. Miroslaw Staron
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  2. Ludwik Kuzniarz
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Editor information

Editors and Affiliations

  1. Simula Research Laboratory, University of Oslo, P.O. Box 134, Lysaker, Norway

    Lionel Briand

  2. IBM T J Watson Research Center, 19 Skyline Drive, 10532, Hawthorne, NY

    Clay Williams

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© 2005 Springer-Verlag Berlin Heidelberg

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Staron, M., Kuzniarz, L. (2005). Properties of Stereotypes from the Perspective of Their Role in Designs. In: Briand, L., Williams, C. (eds) Model Driven Engineering Languages and Systems. MODELS 2005. Lecture Notes in Computer Science, vol 3713. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11557432_15

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  • DOI: https://doi.org/10.1007/11557432_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29010-0

  • Online ISBN: 978-3-540-32057-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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