Leveraging Event Data for Measuring Process Complexity

Publication: Chapter in book/Conference proceedingContribution to conference proceedings


Complexity is an important aspect of business processes. Numerous metrics have been introduced to measure process complexity, however, existing metrics view processes merely as sequences of activities, disregarding the corresponding data. This is a major omission since much of the complexity of business processes stems from the variation of data that is associated with it. In this paper, we refer to recent research on how behavioral complexity of business processes can be defined. More specifically, we extend entropy-based complexity metrics such that they are capable of capturing the variation of event data. We provide some first insights into the implications of applying these newly proposed metrics.
Original languageEnglish
Title of host publicationProcess Mining Workshops
Subtitle of host publicationICPM 2022 International Workshops, Bozen-Bolzano, Italy, October 23–28, 2022, Revised Selected Papers
EditorsMarco Montali, Arik Senderovich, Matthias Weidlich
Place of PublicationCham
ISBN (Electronic)978-3-031-27815-0
ISBN (Print)978-3-031-27814-3
Publication statusPublished - 2023

Publication series

SeriesLecture Notes in Business Information Processing

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