The eXtensible Rule Markup Language
Communications of the ACM - Wireless networking security
On Design and Implementation of a Contract Monitoring Facility
WEC '04 Proceedings of the First IEEE International Workshop on Electronic Contracting
Compliance checking between business processes and business contracts
EDOC '06 Proceedings of the 10th IEEE International Enterprise Distributed Object Computing Conference
Integration and verification of semantic constraints in adaptive process management systems
Data & Knowledge Engineering
Business Provenance --- A Technology to Increase Traceability of End-to-End Operations
OTM '08 Proceedings of the OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008. Part I on On the Move to Meaningful Internet Systems:
Compliance aware business process design
BPM'07 Proceedings of the 2007 international conference on Business process management
Designing compliant business processes with obligations and permissions
BPM'06 Proceedings of the 2006 international conference on Business Process Management Workshops
Risk management in the BPM lifecycle
BPM'05 Proceedings of the Third international conference on Business Process Management
Monitoring unmanaged business processes
OTM'10 Proceedings of the 2010 international conference on On the move to meaningful internet systems - Volume Part I
A distributed framework for reliable and efficient service choreographies
Proceedings of the 20th international conference on World wide web
Information and Software Technology
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The effect of using automated auditing tools to detect compliance failures in unmanaged business processes is investigated. In the absence of a process execution engine, compliance of an unmanaged business process is tracked by using an auditing tool developed based on business provenance technology or employing auditors. Since budget constraints limit employing auditors to evaluate all process instances, a methodology is devised to use both expert opinion on a limited set of process instances and the results produced by fallible automated audit machines on all process instances. An improvement factor is defined based on the average number of non-compliant process instances detected and it is shown that the improvement depends on the prevalence of non-compliance in the process as well as the sensitivity and the specificity of the audit machine.