Auditing Business Process Compliance

  • Authors:
  • Aditya Ghose;George Koliadis

  • Affiliations:
  • Decision Systems Laboratory, School of Computer Science and Software Engineering, University of Wollongong, NSW 2522, Australia;Decision Systems Laboratory, School of Computer Science and Software Engineering, University of Wollongong, NSW 2522, Australia

  • Venue:
  • ICSOC '07 Proceedings of the 5th international conference on Service-Oriented Computing
  • Year:
  • 2007

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Abstract

Compliance issues impose significant management and reporting requirements upon organizations. We present an approach to enhance business process modeling notations with the capability to detect and resolve many broad compliance related issues. We provide a semantic characterization of a minimal revision strategy that helps us obtain compliant process models from models that might be initially non-compliant, in a manner that accommodates the structural and semantic dimensions of parsimoniously annotated process models. We also provide a heuristic approach to compliance resolution using a notion of compliance patterns. This allows us to partially automate compliance resolution, leading to reduced levels of analyst involvement and improved decision support.