Auditing business process compliance

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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. © Springer-Verlag Berlin Heidelberg 2007.

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APA

Ghose, A., & Koliadis, G. (2007). Auditing business process compliance. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4749 LNCS, pp. 169–180). Springer Verlag. https://doi.org/10.1007/978-3-540-74974-5_14

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