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Towards an Extensible Modeling and Validation Framework for SDL-UML

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System Analysis and Modeling: Models and Reusability (SAM 2014)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 8769))

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Abstract

The Specification and Description Language (SDL) has been a domain specific language that is well-established in the telecommunication sector for many years, but only a small set of SDL tools is available. In contrast, a wide range of different kinds of tools can be used for various purposes, such as model transformation, for the Unified Modeling Language (UML). The UML profile for SDL (SDL-UML) makes it possible to specify SDL compliant models in terms of a UML model. In this paper, the extensible SDL-UML Modeling and Validation (SU-MoVal) framework, which supports the specification and validation of models that are compliant to Z.109, is presented. As an additional feature, the SU-MoVal framework also provides an editor for the specification of a textual notation that is mapped to corresponding SDL-UML elements.

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Author information

Authors and Affiliations

  1. Poppenreuther Str. 45, D-90419, Nürnberg, Germany

    Alexander Kraas

Authors
  1. Alexander Kraas
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Editor information

Editors and Affiliations

  1. School of Electrical Engineering and Computer Sience, University of Ottawa, 800 King Edward St., K1N 6N5, Ottawa, ON, Canada

    Daniel Amyot

  2. Department of Statistics and Operations Research, Universitat Politècnica de Catalunya - Barcelona Tech, North Campus - C5218 Room, 08034, Barcelona, Spain

    Pau Fonseca i Casas

  3. Department of Electrical and Computer Engineering, McGill University, 3480 University Street, H3A 0E9, Montreal, QC, Canada

    Gunter Mussbacher

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© 2014 Springer International Publishing Switzerland

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Kraas, A. (2014). Towards an Extensible Modeling and Validation Framework for SDL-UML. In: Amyot, D., Fonseca i Casas, P., Mussbacher, G. (eds) System Analysis and Modeling: Models and Reusability. SAM 2014. Lecture Notes in Computer Science, vol 8769. Springer, Cham. https://doi.org/10.1007/978-3-319-11743-0_18

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  • DOI: https://doi.org/10.1007/978-3-319-11743-0_18

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11742-3

  • Online ISBN: 978-3-319-11743-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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