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From SBVR to BPMN and DMN Models. Proposal of Translation from Rules to Process and Decision Models

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Artificial Intelligence and Soft Computing (ICAISC 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9693))

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Abstract

The same business concepts can be expressed in various knowledge representations like processes or rules. This paper presents an interoperability solution for transforming a subset of the SBVR rules into the BPMN and DMN models. The translation algorithm describes how to translate the SBVR vocabulary, structural and operational rules into particular BPMN and DMN elements. The result is a combined process and decision model, which can be used for validating SBVR rules by people aware of BPMN and DMN notations.

The paper is supported by the AGH UST research grant.

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Authors and Affiliations

  1. AGH University of Science and Technology, al. A. Mickiewicza 30, 30-059, Krakow, Poland

    Krzysztof Kluza & Krzysztof Honkisz

Authors
  1. Krzysztof Kluza
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  2. Krzysztof Honkisz
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Corresponding author

Correspondence to Krzysztof Kluza .

Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Czestochowa, Poland

    Leszek Rutkowski

  2. Częstochowa University of Technology, Czestochowa, Poland

    Marcin Korytkowski

  3. Częstochowa University of Technology, Czestochowa, Poland

    Rafał Scherer

  4. AGH University of Science and Technology, Krakow, Poland

    Ryszard Tadeusiewicz

  5. University of California, Berkeley, California, USA

    Lotfi A. Zadeh

  6. University of Louisville, Louisville, Kentucky, USA

    Jacek M. Zurada

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Kluza, K., Honkisz, K. (2016). From SBVR to BPMN and DMN Models. Proposal of Translation from Rules to Process and Decision Models. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2016. Lecture Notes in Computer Science(), vol 9693. Springer, Cham. https://doi.org/10.1007/978-3-319-39384-1_39

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  • DOI: https://doi.org/10.1007/978-3-319-39384-1_39

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39383-4

  • Online ISBN: 978-3-319-39384-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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