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A model-driven approach for event-based business process monitoring

: Koetter, Falko; Kochanowski, Monika


Information Systems and e-Business Management 13 (2015), Nr.1, S.5-36
ISSN: 1617-9846
ISSN: 1617-9854
Deutsche Forschungsgemeinschaft DFG
SP 448/27-1; Co.M.B.
Compliance Management in Adaptive Business Processes
Fraunhofer IAO ()

Today event-driven business process management has matured from a scientific vision to a realizable methodology for companies of all sizes and shapes. This vision can be applied for business monitoring, as well as for compliance monitoring. However, leveraging the power of complex event processing for supporting business process monitoring is cumbersome because of the complicated modeling of rules and alerts as well as key performance indicators (KPIs) in machine readable format using the event languages. However, using a model-driven approach for generating a monitoring infrastructure based on events like the a Pro architecture is one possibility to enable companies with various infrastructures to leverage the advantages of business process monitoring. This article describes how KPIs are modeled and transferred into event rules by a model-driven approach. Two use cases are the basis for defining requirements and evaluating the approach, showing it tackles challenges from business monitoring as well as from compliance monitoring.