Visual Modeling of Business Process Compliance Rules with the Support of Multiple Perspectives

نویسندگان

  • David Knuplesch
  • Manfred Reichert
  • Linh Thao Ly
  • Akhil Kumar
  • Stefanie Rinderle-Ma
چکیده

A fundamental challenge for any process-aware information system is to ensure compliance of modeled and executed business processes with imposed compliance rules stemming from guidelines, standards and laws. Such compliance rules usually refer to multiple process perspectives including control flow, time, resources, data, and interactions with business partners. On one hand, compliance rules should be comprehensible for domain experts who must define and apply them. On the other, they should have a precise semantics such that they can be automatically processed. In this context, providing a visual compliance rule language seems promising as it allows hiding formal details and offers an intuitive way of modeling. So far, visual compliance rule languages have focused on the control flow perspective, but lack adequate support for the other perspectives. To remedy this drawback, this paper provides an approach that extends visual compliance rule languages with the ability to consider data, time, resources, and partner interactions when modeling business process compliance rules. Overall, this extension will foster business process compliance support in practice.

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تاریخ انتشار 2013