Generating synthetic process model collections with properties of labeled real-life models

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

6 Citations (Scopus)
3 Downloads (Pure)

Abstract

Nowadays, business process management plays an important role in the management of organizations. More and more organizations describe their operations as business processes. It is common for organizations to have collections of thousands of business processes, but due to privacy reasons, these collections are often not, or only partially, available to researchers. However, to test the scalability of techniques it is necessary to have collections the size of which is several orders of magnitude larger than the collections that are available. Therefore, this paper proposes a technique to generate such collections of process models based on the properties of real-life collections. Where existing techniques focus on the structure of the process models, the technique proposed in this paper also generates brief task labels. This allows BPM experimentation with process collections that have laboratory-set quantitative parameters and real-world qualitative characteristics.
Original languageEnglish
Title of host publicationAsia Pacific Business Process Management : Second Asia Pacific Conference, AP-BPM 2014, Brisbane, QLD, Australia, July 3-4, 2014. Proceedings
EditorsCh. Ouyang, J.-Y. Jung
Place of PublicationBerlin
PublisherSpringer
Pages74-88
ISBN (Print)978-3-319-08222-6
DOIs
Publication statusPublished - 2014

Publication series

NameLecture Notes in Business Information Processing
Volume181
ISSN (Print)1865-1348

Fingerprint Dive into the research topics of 'Generating synthetic process model collections with properties of labeled real-life models'. Together they form a unique fingerprint.

Cite this