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Reuse-Oriented Business Process Modelling Based on a Hierarchical Structure

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Business Process Management Workshops (BPM 2010)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 66))

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Abstract

Managing variability in business processes has attracted a lot of research interest. Some of the current works try to manage variability at runtime and others at design time. We are interested in the latter where it consists of managing different process variants in order to enable their reuse. Even though there exist different proposals dealing with variability at design time most of them suffer from the major shortcoming of decision support in choosing the suitable alternatives. In this context, we propose a framework that allows for reusing business process models by means of a hierarchical structure. In this paper, we present our ongoing research in defining this framework: its data structure as well as first thoughts about maintaining it.

This work is funded by the Lion II project supported by Science Foundation Ireland under grant number 08/CE/I1380.

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Author information

Authors and Affiliations

  1. DERI, Digital Enterprise Research Institute, National University of Ireland, Galway, Ireland

    Wassim Derguech & Sami Bhiri

Authors
  1. Wassim Derguech
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  2. Sami Bhiri
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Editor information

Editors and Affiliations

  1. Stevens Institute of Technology, Howe School of Technology Management, 07030, Hoboken, NY, USA

    Michael zur Muehlen

  2. Department of Computer Science, University of California, 93106-5110, Santa Barbara, CA, USA

    Jianwen Su

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Derguech, W., Bhiri, S. (2011). Reuse-Oriented Business Process Modelling Based on a Hierarchical Structure. In: zur Muehlen, M., Su, J. (eds) Business Process Management Workshops. BPM 2010. Lecture Notes in Business Information Processing, vol 66. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20511-8_29

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  • DOI: https://doi.org/10.1007/978-3-642-20511-8_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20510-1

  • Online ISBN: 978-3-642-20511-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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