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A Fact-Based Meta Model for BPMN

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Innovations in Enterprise Information Systems Management and Engineering (ERP Future 2016)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 285))

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Abstract

Recently, the OMG has been working on developing a new standard for a business process management notation (BPMN). This standard development results in documents that contain the newest approved version of a standard or a standard proposal that can be amended. It is our vision that such a standard document, that also serves as a specification for BPMN modeling tool developers could benefit from a fact-based model in which the same domain knowledge is represented conceptually as a list of concept definitions (including naming conventions), a set of information structure diagrams and the constraints or business rules that govern the instances of the information structure diagrams. In this paper we will show precisely, how such a fact-based conceptual view on a standard document can be created, and we will show how a fact-based approach can improve the completeness of a specification.

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Author information

Authors and Affiliations

  1. Department of Organization and Strategy, School of Business and Economics, Maastricht University, Maastricht, The Netherlands

    Peter Bollen

Authors
  1. Peter Bollen
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Correspondence to Peter Bollen .

Editor information

Editors and Affiliations

  1. Andrassy University Budapest , Budapest, Hungary

    Felix Piazolo

  2. Software Competence Center Hagenberg , Hagenberg, Austria

    Verena Geist

  3. Munich University of Applied Sciences , Munich, Germany

    Lars Brehm

  4. Munich University of Applied Sciences , Munich, Germany

    Rainer Schmidt

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Bollen, P. (2017). A Fact-Based Meta Model for BPMN. In: Piazolo, F., Geist, V., Brehm, L., Schmidt, R. (eds) Innovations in Enterprise Information Systems Management and Engineering. ERP Future 2016. Lecture Notes in Business Information Processing, vol 285. Springer, Cham. https://doi.org/10.1007/978-3-319-58801-8_3

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  • DOI: https://doi.org/10.1007/978-3-319-58801-8_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-58800-1

  • Online ISBN: 978-3-319-58801-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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