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Visualizing Large Business Process Models: Challenges, Techniques, Applications

  • Conference paper
Business Process Management Workshops (BPM 2012)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 132))

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Abstract

Large process models may comprise hundreds or thousands of process elements, like activities, gateways, and data objects. Presenting such process models to users and enabling them to interact with these models constitute crucial tasks of any process-aware information systems (PAISs). Existing PAISs, however, neither provide adequate techniques for visualizing and abstracting process models nor for interacting with them. In particular, PAISs do not provide tailored process visualizations as needed in complex application environments. This paper presents examples of large process models and discusses some of the challenges to be tackled when visualizing and abstracting respective models. Further, it presents a comprehensive framework that allows for personalized process model visualizations, which can be tailored to the specific needs of the different user groups. First, process model complexity can be reduced by abstracting the models, i.e., by eliminating or aggregating process elements not relevant in the given visualization context. Second, the appearance of process elements can be customized independent of the process modeling language used. Third, different visualization formats (e.g., process diagrams, process forms, and process trees) are supported. Finally, it will be discussed how tailored visualizations of process models may serve as basis for changing and evolving process models at a high level of abstraction.

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Reichert, M. (2013). Visualizing Large Business Process Models: Challenges, Techniques, Applications. In: La Rosa, M., Soffer, P. (eds) Business Process Management Workshops. BPM 2012. Lecture Notes in Business Information Processing, vol 132. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36285-9_73

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  • DOI: https://doi.org/10.1007/978-3-642-36285-9_73

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36284-2

  • Online ISBN: 978-3-642-36285-9

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