Gunther, Christian, Rinderle-Ma, Stefanie, Reichert, Manfred, van der Aalst, Wil M. and Recker, Jan C. ORCID: 0000-0002-2072-5792 (2008). Using process mining to learn from process changes in evolutionary systems. International journal of business process integration and management : IJBPIM, 3 (1). pp. 61-78. Genève: Inderscience Enterprises. ISSN 1741-8771

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Link to the document: https://eprints.qut.edu.au/14017/

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: Journal Article
Creators:
CreatorsEmailORCID
Gunther, ChristianUNSPECIFIEDUNSPECIFIED
Rinderle-Ma, StefanieUNSPECIFIEDUNSPECIFIED
Reichert, ManfredUNSPECIFIEDUNSPECIFIED
van der Aalst, Wil M.UNSPECIFIEDUNSPECIFIED
Recker, Jan C.UNSPECIFIEDorcid.org/0000-0002-2072-5792
URN: urn:nbn:de:hbz:38-88414
DOI: 10.1504/IJBPIM.2008.019348
Journal or Publication Title: International journal of business process integration and management : IJBPIM
Publisher: Inderscience Enterprises
ISSN: 1741-8771
Volume: 3
Number: 1
Subjects: Data processing Computer science
Management and auxiliary services
Uncontrolled Keywords:
KeywordsLanguage
processEnglish
aware information systemsEnglish
process miningEnglish
change miningEnglish
Faculty: Faculty of Management, Economy and Social Sciences
Divisions: Faculty of Management, Economy and Social Sciences > Cologne Institute for Information Systems (CIIS)
Language: English
Date: July 2008
Place of Publication: Genève
Refereed: Yes
Page Range: pp. 61-78
URI: http://kups.ub.uni-koeln.de/id/eprint/8841

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