Journal article
Real-time risk monitoring in business processes: A sensor-based approach
R Conforti, M La Rosa, G Fortino, AHM Ter Hofstede, J Recker, M Adams
Journal of Systems and Software | ELSEVIER SCIENCE INC | Published : 2013
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 i..
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Awarded by Appalachian Regional Commission
Funding Acknowledgements
We thank Peter Hughes for his help with the identification of process-related risks. This research is partly funded by the ARC Discovery Project "Risk-aware Business Process Management" (DP110100091). NICTA is funded by the Australian Government as represented by the Department of Broadband, Communications and the Digital Economy and the Australian Research Council through the ICT Centre of Excellence program.