University of Wisconsin–River Falls
Compliance issues impose significant management and reporting requirements upon organizations. The authors present an approach to enhance Business Process Modeling notations with the capability to detect and resolve many broad compliance related issues. They provide a semantic characterization of a minimal revision strategy that helps users 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. They also provide a heuristic approach to compliance resolution using a notion of compliance patterns. This allows users to partially automate compliance resolution, leading to reduced levels of analyst involvement and improved decision support.