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Data Support in Process Model Abstraction

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Conceptual Modeling (ER 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7532))

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Abstract

Process model abstraction is an effective approach to reduce the complexity and increase the understandability of process models. Several techniques provide process model abstraction capabilities, but none of them includes data in the abstraction procedure. To overcome this gap, we propose data abstraction capabilities for process model abstraction. The approach is based on use cases found in literature as well as encountered in practice. Altogether, we introduce a framework for data abstraction in process models and provide algorithmic guidance to apply it in practice. The approach is evaluated by an implementation and a scenario of a workshop organization, that contains process models on different levels of abstraction.

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Author information

Authors and Affiliations

  1. Hasso Plattner Institute at the University of Potsdam, Prof.-Dr.-Helmert-Str. 2–3, D-14482, Potsdam, Germany

    Andreas Meyer & Mathias Weske

Authors
  1. Andreas Meyer
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  2. Mathias Weske
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Editor information

Editors and Affiliations

  1. Dipartimento di informatica e Automazione, Università Roma Tre, Via Vasca Navale, 79, 00145, Roma, Italy

    Paolo Atzeni

  2. Department of Computer Science, University of Hong Kong, Pok Fu Lam Road, Hong Kong, China

    David Cheung

  3. Eller College of Management, University of Arizona, McClelland Hall, Room 108, P.O. Box 210108, 85721-0108, Tucson, AZ, USA

    Sudha Ram

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© 2012 Springer-Verlag Berlin Heidelberg

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Meyer, A., Weske, M. (2012). Data Support in Process Model Abstraction. In: Atzeni, P., Cheung, D., Ram, S. (eds) Conceptual Modeling. ER 2012. Lecture Notes in Computer Science, vol 7532. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34002-4_23

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  • DOI: https://doi.org/10.1007/978-3-642-34002-4_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34001-7

  • Online ISBN: 978-3-642-34002-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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