Automatic extraction of process categories from process model collections

M. Malinova, R.M. Dijkman, J. Mendling

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

7 Citations (Scopus)
1 Downloads (Pure)

Abstract

Many organizations build up their business process management activities in an incremental way. As a result, there is no overarching structure defined at the beginning. However, as business process modeling initiatives often yield hundreds to thousands of process models, there is a growing need for such a structure. This challenge calls for a technique to extract process categories from a set of process models automatically which yields an up-to-date view of the structure of a collection of process models. It also provides a means to check whether pre-defined process categories are still reasonable. In this paper, we introduce a technique for automatically extracting process categories from process model collections and test it using a collection from industry. The results demonstrate the usefulness of the technique by revealing issues of the pre-existing process categories. In this way, we contribute to the field of process model management and quality assurance.
Original languageEnglish
Title of host publicationBusiness Process Management Workshops : BPM 2013 International Workshops, Beijing, China, August 26, 2013, Revised Papers
EditorsN. Lohmann, M. Song, P. Wohed
Place of PublicationBerlin
PublisherSpringer
Pages430-441
ISBN (Print)978-3-319-06257-0
DOIs
Publication statusPublished - 2014

Publication series

NameLecture Notes in Business Information Processing
Volume171
ISSN (Print)1865-1348

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