Only recently, process mining techniques emerged that can be used for Operational decision Support (OS), i.e., knowledge extracted from event logs is used to handle running process instances better. In the process mining tool ProM, a generic OS service has been developed that allows ProM to dynamically interact with an external information system, receiving streams of events and returning meaningful insights on the running process instances. In this paper, we present the implementation of a novel business constraints monitoring framework on top of the ProM OS service. We discuss the foundations of the monitoring framework considering two logic-based approaches, tailored to Linear Temporal Logic on finite traces and the Event Calculus.
|Title of host publication
|Fundamental Approaches to Software Engineering (15th International Conference, FASE 2012, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2012, Tallinn, Estonia, March 24 - April 1, 2012. Proceedings)
|J. Lara, de, A. Zisman
|Place of Publication
|Published - 2012
|Lecture Notes in Computer Science