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Enterprise Engineering Working Conference

EEWC 2014: Advances in Enterprise Engineering VIII pp 182–196Cite as

Approach for Semi-automatic Extraction of Business Vocabularies and Rules from Use Case Diagrams

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 174))

Abstract

The main purpose of this paper is to explore the possibilities to extract well-structured business vocabularies and rules from the formalized requirements specifications expressed via use case diagrams; Object Management Group’s (OMG) standards, namely Semantics of Business Vocabularies and Business Rules (SBVR) and Unified Modeling Language (UML), are used for this purpose. The paper concentrates on a semi-automatic extraction approach by proposing UML2SBVR mapping matrix, extraction algorithm and implementation prototype. An experiment and the evaluation of its results are discussed to prove the usability of the presented approach.

The work is supported by the project VP1-3.1-ŠMM-10-V-02-008 “Integration of Business Processes and Business Rules on the Base of Business Semantics (VEPSEM)” (2013-2015), which is funded by the European Social Fund (ESF).

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References

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Author information

Authors and Affiliations

  1. Center of Information Systems Design Technologies, Department of Information Systems, Kaunas University of Technology, Studentu str. 50-313a, Kaunas, Lithuania

    Tomas Skersys, Paulius Danenas & Rimantas Butleris

Authors
  1. Tomas Skersys
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  2. Paulius Danenas
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  3. Rimantas Butleris
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Editor information

Editors and Affiliations

  1. Madeira Interactive Technologies Institute, University of Madeira &amp, Caminho da Penteada, 9020-105, Funchal, Portugal

    David Aveiro

  2. INESC and University of Lisbon, Portugal

    José Tribolet

  3. University of Madeira, Funchal, Portugal

    Duarte Gouveia

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© 2014 Springer International Publishing Switzerland

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Skersys, T., Danenas, P., Butleris, R. (2014). Approach for Semi-automatic Extraction of Business Vocabularies and Rules from Use Case Diagrams. In: Aveiro, D., Tribolet, J., Gouveia, D. (eds) Advances in Enterprise Engineering VIII. EEWC 2014. Lecture Notes in Business Information Processing, vol 174. Springer, Cham. https://doi.org/10.1007/978-3-319-06505-2_13

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  • DOI: https://doi.org/10.1007/978-3-319-06505-2_13

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06504-5

  • Online ISBN: 978-3-319-06505-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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