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Variability patterns for business processes in BPMN

Author

Listed:
  • Alaaeddine Yousfi

    (Mohammed V University
    Carnegie Mellon University)

  • Rajaa Saidi

    (Mohammed V University
    INSEA)

  • Anind K. Dey

    (Carnegie Mellon University)

Abstract

Many entities, both in academia and the business sector, urge an efficient improvement of business processes. However, when it comes to addressing this point, each slight disparity in the business rules and/or objectives translates into a separate model, which is neither practical nor acceptable as it burdens the host process-aware information system with repetitive and almost verbatim instances. To solve this issue, we propose considering variability. Variability will serve as a business process improvement technique to efficiently design and run a variable business process throughout different business situations that are similar to one another is some ways yet differ in others. First, we define variability within the context of business processes. Second, we present a set of variability patterns and explain how they are used. We validate our approach via the business process improvement patterns known and used by the community. The variability design patterns are a series of business process improvement patterns for building business process with variability and efficiently acting on the improved process performance metrics.

Suggested Citation

  • Alaaeddine Yousfi & Rajaa Saidi & Anind K. Dey, 2016. "Variability patterns for business processes in BPMN," Information Systems and e-Business Management, Springer, vol. 14(3), pages 443-467, August.
    • Handle: RePEc:spr:infsem:v:14:y:2016:i:3:d:10.1007_s10257-015-0290-7
    DOI: 10.1007/s10257-015-0290-7
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    References listed on IDEAS

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    1. Reijers, H. A. & Liman Mansar, S., 2005. "Best practices in business process redesign: an overview and qualitative evaluation of successful redesign heuristics," Omega, Elsevier, vol. 33(4), pages 283-306, August.
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    Cited by:

    1. Thai-Minh Truong & Lam-Son Lê & Elda Paja & Paolo Giorgini, 2021. "A data-driven, goal-oriented framework for process-focused enterprise re-engineering," Information Systems and e-Business Management, Springer, vol. 19(2), pages 683-747, June.

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