Real-time risk monitoring in business processes : a sensor-based approach

Conforti, Raffaele, La Rosa, Marcello, Fortino, Giancarlo, ter Hofstede, Arthur H.M., Recker, Jan C., & Adams, Michael J. (2013) Real-time risk monitoring in business processes : a sensor-based approach. Journal of Systems and Software, 86(11), pp. 2939-2965.

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Abstract

This article proposes an approach for real-time monitoring of risks in executable business process models. The approach considers risks in all phases of the business process management lifecycle, from process design, where risks are defined on top of process models, through to process diagnosis, where risks are detected during process execution. The approach has been realized via a distributed, sensor-based architecture. At design-time, sensors are defined to specify risk conditions which when fulfilled, are a likely indicator of negative process states (faults) to eventuate. Both historical and current process execution data can be used to compose such conditions. At run-time, each sensor independently notifies a sensor manager when a risk is detected. In turn, the sensor manager interacts with the monitoring component of a business process management system to prompt the results to process administrators who may take remedial actions. The proposed architecture has been implemented on top of the YAWL system, and evaluated through performance measurements and usability tests with students. The results show that risk conditions can be computed efficiently and that the approach is perceived as useful by the participants in the tests.

Impact and interest:

6 citations in Scopus
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4 citations in Web of Science®

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ID Code: 58321
Item Type: Journal Article
Refereed: Yes
Keywords: Business process management, Process model, Risk, Workflow, YAWL
DOI: 10.1016/j.jss.2013.07.024
ISSN: 1873-1228
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > COMPUTER SOFTWARE (080300)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > COMPUTER SOFTWARE (080300) > Software Engineering (080309)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600) > Information Systems Management (080609)
Divisions: Current > Schools > School of Information Systems
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Funding:
Copyright Owner: Copyright 2013 Elsevier
Copyright Statement: This is the author’s version of a work that was accepted for publication in Journal of Systems and Software. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Systems and Software, [Volume 86, Issue 11, (November 2013)] DOI: 10.1016/j.jss.2013.07.024
Deposited On: 06 Aug 2013 22:20
Last Modified: 06 Dec 2015 14:57

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