Using Process Mining to Learn from Process Changes in Evolutionary Systems.

Guenther, Christian W. and Rinderle, Stefanie and Reichert, Manfred and van der Aalst, Wil M.P. and Recker, Jan (2006) Using Process Mining to Learn from Process Changes in Evolutionary Systems. Technical Report. Eindhoven University of Technology, Eindhoven.

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Abstract

Traditional information systems struggle with the requirement to provide flexibility and process support while still enforcing some degree of control. Accordingly, adaptive Process Management Systems (PMSs) have emerged that provide some flexibility by enabling dynamic process changes during runtime. Based on the assumption that these process changes are recorded explicitly, we present two techniques for mining change logs in adaptive PMSs; that is, we do not only analyse the execution logs of the operational processes, but also consider the adaptations made at the process instance level. The change processes discovered through process mining provide an aggregated overview of all changes that happened so far. Using process mining as an analysis tool we show in this paper how better support can be provided for truly flexible processes by understanding when and why process changes become necessary.

Item Type: Monograph (Technical Report)
Subjects: DBIS Research > Publications
Depositing User: Prof. Dr. Manfred Reichert
Date Deposited: 05 Jul 2008 10:04
Last Modified: 03 May 2013 16:25
URI: http://dbis.eprints.uni-ulm.de/id/eprint/443

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