Measuring similarity between business process models

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

188 Citations (Scopus)


Quality aspects become increasingly important when business process modeling is used in a large-scale enterprise setting. In order to facilitate a storage without redundancy and an efficient retrieval of relevant process models in model databases it is required to develop a theoretical understanding of how a degree of behavioral similarity can be defined. In this paper we address this challenge in a novel way. We use causal footprints as an abstract representation of the behavior captured by a process model, since they allow us to compare models defined in both formal modeling languages like Petri nets and informal ones like EPCs. Based on the causal footprint derived from two models we calculate their similarity based on the established vector space model from information retrieval. We validate this concept with an experiment using the SAP Reference Model and an implementation in the ProM framework.
Original languageEnglish
Title of host publicationAdvanced Information Systems Engineering (Proceedings 20th International Conference, CAiSE'08, Montpellier, France, June 18-20, 2008)
EditorsZ. Bellahsène, M. Léonard
Place of PublicationBerlin
ISBN (Print)978-3-540-69533-2
Publication statusPublished - 2008
Event20th International Conference on Advanced Information Systems Engineering (CAiSE 2008) - Montpellier, France
Duration: 18 Jun 200820 Jun 2008
Conference number: 20

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743


Conference20th International Conference on Advanced Information Systems Engineering (CAiSE 2008)
Abbreviated titleCAiSE '08


Dive into the research topics of 'Measuring similarity between business process models'. Together they form a unique fingerprint.

Cite this