On the Correlation between Process Model Metrics and Errors

Mendling, Jan, Neumann, Gustaf, & van der Aalst, Wil M. (2007) On the Correlation between Process Model Metrics and Errors. In Grundy, J., Hartmann, S., Laender, A.H.F., Maciaszek, L., & Roddick, J.F. (Eds.) Twenty-Sixth International Conference on Conceptual Modeling - ER2007 - Tutorials, Posters, Panels and Industrial Contributions, 28-30 November 2007, Auckland.


Business process models play an important role for the management, design, and improvement of process organizations and process-aware information systems. Despite the extensive application of process modeling in practice there are hardly empirical results available on quality aspects of process models. This paper aims to advance the understanding of this matter by analyzing the connection between formal errors (such as deadlocks) and a set of metrics that capture various structural and behavioral aspects of a process model. In particular we discuss the hypothetical relationship between errors and metrics, and provide a validation of correlation based on an extensive sample of EPC process models from practice. The strong connection between metrics and errors has considerable consequences for the design of future modeling guidelines and modeling tools.

Impact and interest:

Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

287 since deposited on 03 Jul 2008
13 in the past twelve months

Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 13958
Item Type: Conference Item (Poster)
Refereed: Yes
Additional URLs:
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600) > Information Systems Development Methodologies (080608)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2007 Australian Computer Society
Copyright Statement: Reproduction for academic, not-for profit purposes permitted provided this text is included.
Deposited On: 03 Jul 2008 00:00
Last Modified: 03 Mar 2011 05:47

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page