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

Abstract

Today event-driven business process management has matured from a scientific vision to a realizable methodology for companies of all sizes and shapes. 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 in machine readable format using the event languages. However, using a model-driven approach for generating a monitoring infrastructure based on events like the aPro architecture is one possibility to enable companies with various infrastructures to leverage the advantages of business process monitoring. This paper describes how KPIs are modeled and transferred into event rules by a model-driven approach. © 2013 Springer-Verlag Berlin Heidelberg.