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International Conference on Formal Engineering Methods

ICFEM 2008: Formal Methods and Software Engineering pp 355–374Cite as

A Process Semantics for BPMN

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Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 5256))

Abstract

Business Process Modelling Notation (BPMN), developed by the Business Process Management Initiative (BPMI), intends to bridge the gap between business process design and implementation. However, the specification of the notation does not include a formal semantics. This paper shows how a subset of the BPMN can be given a process semantics in Communicating Sequential Processes. Such a semantics allows developers to formally analyse and compare BPMN diagrams. A simple example of a business process is included to demonstrate the application of the semantics; some theoretical results about the semantics are briefly discussed.

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Author information

Authors and Affiliations

  1. Computing Laboratory, University of Oxford, United Kingdom

    Peter Y. H. Wong & Jeremy Gibbons

Authors
  1. Peter Y. H. Wong
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  2. Jeremy Gibbons
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Editor information

Editors and Affiliations

  1. Faculty of Computer and Information Sciences, Hosei University, 3-7-2 Kajino-cho Koganei-shi, 184-8584, Tokoy, Japan

    Shaoying Liu

  2. Department of Computing and Software, McMaster University, 1280 Main St West, L8S 4K1, Hamilton, ON, Canada

    Tom Maibaum

  3. Department of Computer Science and Communication Engineering, , Graduate School of Information Science and Electrical Engineering, Kyushu University, 6-10-1-Hakozaki, 812-8581, Higashi-ku, Fukuoka, Japan

    Keijiro Araki

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© 2008 Springer-Verlag Berlin Heidelberg

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Wong, P.Y.H., Gibbons, J. (2008). A Process Semantics for BPMN. In: Liu, S., Maibaum, T., Araki, K. (eds) Formal Methods and Software Engineering. ICFEM 2008. Lecture Notes in Computer Science, vol 5256. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88194-0_22

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  • DOI: https://doi.org/10.1007/978-3-540-88194-0_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88193-3

  • Online ISBN: 978-3-540-88194-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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