Using process mining to learn from process changes in evolutionary systems
Gunther, Christian, Rinderle-Ma, Stefanie, Reichert, Manfred, van der Aalst, Wil M., & Recker, Jan C. (2008) Using process mining to learn from process changes in evolutionary systems. International Journal of Business Process Integration and Management, 3(1), pp. 61-78.
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.
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|Item Type:||Journal Article|
|Keywords:||process, aware information systems, process mining, change mining|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > LIBRARY AND INFORMATION STUDIES (080700) > Information Retrieval and Web Search (080704)|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Science and Technology|
|Copyright Owner:||Copyright 2008 Inderscience|
|Copyright Statement:||Reproduced in accordance with the copyright policy of the publisher.|
|Deposited On:||09 Jul 2008|
|Last Modified:||29 Feb 2012 13:48|
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