Robust performance analysis on YAWL process models with advanced constructs

Adriansyah, A, van Dongen, Boudewijn, Piessens, David, Wynn, Moe T., & Adams, Michael J. (2011) Robust performance analysis on YAWL process models with advanced constructs. Journal of Information Technology Theory & Application, 12(3), pp. 5-26.

[img] Accepted Version (PDF 988kB)
Administrators only | Request a copy from author

View at publisher


The importance of actively managing and analyzing business processes is acknowledged more than ever in organizations nowadays. Business processes form an essential part of an organization and their ap-plication areas are manifold. Most organizations keep records of various activities that have been carried out for auditing purposes, but they are rarely used for analysis purposes. This paper describes the design and implementation of a process analysis tool that replays, analyzes and visualizes a variety of performance metrics using a process definition and its execution logs. Performing performance analysis on existing and planned process models offers a great way for organizations to detect bottlenecks within their processes and allow them to make more effective process improvement decisions. Our technique is applied to processes modeled in the YAWL language. Execution logs of process instances are compared against the corresponding YAWL process model and replayed in a robust manner, taking into account any noise in the logs. Finally, performance characteristics, obtained from replaying the log in the model, are projected onto the model.

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.

ID Code: 50307
Item Type: Journal Article
Refereed: Yes
Additional URLs:
Keywords: Business Process Management, Performance Analysis, Process Mining, Yet Another Workflow Language (YAWL), Log Replay Analysis
ISSN: 1532-4516
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600)
Divisions: Current > Schools > School of Information Systems
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2011 Association for Information Systems
Deposited On: 16 May 2012 01:20
Last Modified: 24 May 2012 14:12

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page