Quotation Satyal, Suhrid, Weber, Ingo, Paik, Hye-young, Di Ciccio, Claudio, Mendling, Jan. 2019. Business process improvement with the AB-BPM methodology. Information Systems (IS). 84 283-298.




A fundamental assumption of Business Process Management (BPM) is that redesign delivers refined and improved versions of business processes. This assumption, however, does not necessarily hold, and any 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 methodology called AB-BPM that offers process improvement validation in two phases: simulation and AB tests. Our simulation technique extracts decision probabilities and metrics from the event log of an existing process version and generates traces for the new process version based on this knowledge. The results of simulation guide us towards AB testing where 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. Our routing algorithm 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 methodology and techniques by conducting an extensive evaluation based on both synthetic and real-life data.


Press 'enter' for creating the tag

Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Information Systems (IS)
Citation Index SCI
WU Journalrating 2009 A
WU-Journal-Rating new INF-A, STRAT-B, WH-B
Language English
Title Business process improvement with the AB-BPM methodology
Volume 84
Year 2019
Page from 283
Page to 298
Reviewed? Y
DOI http://dx.doi.org/10.1016/j.is.2018.06.007
Open Access N


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)
1140 Software engineering (Details)
5306 Business data processing (Details)
5367 Management information systems (Details)
Google Scholar: Search