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Leveraging model-driven monitoring for event-driven business process control

 
: Kötter, Falko; Kochanowski, Monika; Kintz, Maximilien

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Volltext (PDF; )

Baumgraß, Anne (Ed.) ; University of Vienna, Austria:
EMoV+MinoPro 2014, Modeling Inter-Organizational Processes + Event Modeling and Processing in Business Process Management : Joint Proceedings of the 1st International Workshop on Modeling Inter-Organizational Processes and 1st International Workshop on Event Modeling and Processing in Business Process Management, co-located with Modellierung 2014; Vienna, Austria, March 19, 2014
Vienna, 2014 (CEUR Workshop Proceedings 1185)
S.21-33
International Workshop on Modeling Inter-Organizational Processes (MinoPro) <1, 2014, Vienna>
International Workshop on Event Modeling and Processing in Business Process Management (EMoV) <1, 2014, Vienna>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IAO ()

Abstract
Event-driven business process management can help businesses to monitor and guarantee correct and efficient execution of their business processes. Two examples of this are using events to monitor processes and control execution. However, many companies lack mature, executable process models and rely on legacy software systems to execute processes. Creating a customized event infrastructure in such an environment is a cumbersome task. In previous work we detailed a Pro, an architecture for model-driven design and implementation of business process monitoring. This paper describes how to use real-time monitoring data to control business process execution in real-time, extending the model-driven approach.

: http://publica.fraunhofer.de/dokumente/N-323857.html