Quotation Cecconi, Alessio, Augusto, Adriano, Di Ciccio, Claudio. 2021. Detection of Statistically Significant Differences Between Process Variants Through Declarative Rules. In Business Process Management Forum - {BPM} Forum 2021, Rome, Italy, September 06-10, 2021, Proceedings, Hrsg. Artem Polyvyanyy and Moe Thandar Wynn and Amy Van Looy and Manfred Reichert, 73-91. Rome, Italy: Springer.


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Abstract

Services and products are often offered via the execution of processes that vary according to the context, requirements, or customisation needs. The analysis of such process variants can highlight differences in the service outcome or quality, leading to process adjustments and improvement. Research in the area of process mining has provided several methods for process variants analysis. However, very few of those account for a statistical significance analysis of their output. Moreover, those techniques detect differences at the level of process traces, single activities, or performance. In this paper, we aim at describing the distinctive behavioural characteristics between variants expressed in the form of declarative process rules. The contribution to the research area is two-pronged: the use of declarative rules for the explanation of the process variants and the statistical significance analysis of the outcome. We assess the proposed method by comparing its results to the most recent process variants analysis methods. Our results demonstrate not only that declarative rules reveal differences at an unprecedented level of expressiveness, but also that our method outperforms the state of the art in terms of execution time.

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Contribution to conference proceedings
WU-Journal-Rating new STRAT-C
Language English
Title Detection of Statistically Significant Differences Between Process Variants Through Declarative Rules
Title of whole publication Business Process Management Forum - {BPM} Forum 2021, Rome, Italy, September 06-10, 2021, Proceedings
Editor Artem Polyvyanyy and Moe Thandar Wynn and Amy Van Looy and Manfred Reichert
Page from 73
Page to 91
Location Rome, Italy
Publisher Springer
Year 2021
URL https://link.springer.com/content/pdf/10.1007/978-3-030-85440-9_5
Open Access N

Associations

People
Cecconi, Alessio (Details)
Di Ciccio, Claudio (Former researcher)
External
Augusto, Adriano (University of Melbourne, Australia)
Organization
Institute for Data, Process and Knowledge Management (AE Mendling) (Details)
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