What makes process models understandable?

J. Mendling, H.A. Reijers, J. Cardoso

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

244 Citations (Scopus)
1 Downloads (Pure)


Despite that formal and informal quality aspects are of significant importance to business process modeling, there is only little empirical work reported on process model quality and its impact factors. In this paper we investigate understandability as a proxy for quality of process models and focus on its relations with personal and model characteristics. We used a questionnaire in classes at three European universities and generated several novel hypotheses from an exploratory data analysis. Furthermore, we interviewed practitioners to validate our findings. The results reveal that participants tend to exaggerate the differences in model understandability, that self-assessment of modeling competence appears to be invalid, and that the number of arcs in models has an important influence on understandability.
Original languageEnglish
Title of host publicationProceedings of the 5th International Conference on Business Process Management (BPM 2007) 24-28 September 2007, Brisbane, Australia
EditorsG. Alonso, P. Dadam, M. Rosemann
Place of PublicationBerlin
ISBN (Print)978-3-540-75182-3
Publication statusPublished - 2007
Event5th International Conference on Business Process Management (BPM 2007) - Brisbane, Australia
Duration: 24 Sept 200728 Sept 2007
Conference number: 5

Publication series

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


Conference5th International Conference on Business Process Management (BPM 2007)
Abbreviated titleBPM 2007


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