Quotation Satyal, Suhrid, Weber, Ingo, Paik, Hye-young, Di Ciccio, Claudio, Mendling, Jan. 2017. AB-BPM: Performance-Driven Instance Routing for Business Process Improvement. In Business Process Management - 15th International Conference, BPM 2017, September 10-15, 2017, Hrsg. Josep Carmona, Gregor Engels, Akhil Kumar, 113-129. Barcelona, Spain: Springer.




A fundamental assumption of Business Process Management (BPM) is that redesign delivers new and improved versions of business processes. This assumption, however, does not necessarily hold, and required compensatory action may be delayed until a new round in the BPM life-cycle completes. Current approaches to process redesign face this problem in one way or another, which makes rapid process improvement a central research problem of BPM today. In this paper, we address this problem by integrating concepts from process execution with ideas from DevOps. More specifically, we develop a technique called AB-BPM that offers AB testing for process versions with immediate feedback at runtime. We implemented this technique in such a way that two versions (A and B) are operational in parallel and any new process instance is routed to one of them. The routing decision is made at runtime on the basis of the achieved results for the registered performance metrics of each version. AB-BPM provides for ultimate convergence towards the best performing version, no matter if it is the old or the new version. We demonstrate the efficacy of our technique by conducting an extensive evaluation based on both synthetic and real-life data.


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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Contribution to conference proceedings
Language English
Title AB-BPM: Performance-Driven Instance Routing for Business Process Improvement
Title of whole publication Business Process Management - 15th International Conference, BPM 2017, September 10-15, 2017
Editor Josep Carmona, Gregor Engels, Akhil Kumar
Page from 113
Page to 129
Location Barcelona, Spain
Publisher Springer
Year 2017
ISBN 978-3-319-64999-3
URL http://doi.org/10.1007/978-3-319-65000-5_7


Di Ciccio, Claudio (Former researcher)
Mendling, Jan (Details)
Paik, Hye-young (University of New South Wales, Sydney, Australia)
Satyal, Suhrid (Data61, CSIRO, Sydney, Australia)
Weber, Ingo (Data61, CSIRO, Sydney, Australia)
Institute for Data, Process and Knowledge Management (AE Sabou) (Details)
Research areas (Ă–STAT Classification 'Statistik Austria')
1105 Computer software (Details)
1108 Informatics (Details)
1109 Information and data processing (Details)
1122 Artificial intelligence (Details)
1161 Human-computer interaction (Details)
5306 Business data processing (Details)
5367 Management information systems (Details)
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