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Efficient Compliance Checking Using BPMN-Q and Temporal Logic

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Business Process Management (BPM 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5240))

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Abstract

Compliance rules describe regulations, policies and quality constraints business processes must adhere to. Given the large number of rules and their frequency of change, manual compliance checking can become a time-consuming task. Automated compliance checking of process activities and their ordering is an alternative whenever business processes and compliance rules are described in a formal way. This paper introduces an approach for automated compliance checking. Compliance rules are translated into temporal logic formulae that serve as input to model checkers which in turn verify whether a process model satisfies the requested compliance rule. To address the problem of state-space explosion we employ a set of reduction rules. The approach is prototypically realized and evaluated.

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Author information

Authors and Affiliations

  1. Business Process Technology Group Hasso-Plattner-Institute, University of Potsdam, Germany

    Ahmed Awad, Gero Decker & Mathias Weske

Authors
  1. Ahmed Awad
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  2. Gero Decker
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  3. Mathias Weske
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Editor information

Editors and Affiliations

  1. University of Tartu, J Liivi 2, 50409, Tartu, Estonia

    Marlon Dumas

  2. Department of Computer Science, Information Systems Group, University of Twente, P.O. Box 217, 7500 AE, Enschede, The Netherlands

    Manfred Reichert

  3. SAP Labs, LLC 3475 Deer Creek Road, CA 94304, Palo Alto, USA

    Ming-Chien Shan

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© 2008 Springer-Verlag Berlin Heidelberg

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Awad, A., Decker, G., Weske, M. (2008). Efficient Compliance Checking Using BPMN-Q and Temporal Logic. In: Dumas, M., Reichert, M., Shan, MC. (eds) Business Process Management. BPM 2008. Lecture Notes in Computer Science, vol 5240. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85758-7_24

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  • DOI: https://doi.org/10.1007/978-3-540-85758-7_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-85757-0

  • Online ISBN: 978-3-540-85758-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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