On Enabling Data-Aware Compliance Checking of Business Process Models

Knuplesch, David and Ly, Linh Thao and Rinderle-Ma, Stefanie and Pfeifer, Holger and Dadam, Peter (2010) On Enabling Data-Aware Compliance Checking of Business Process Models. In: 29th International Conference on Conceptual Modeling, November 2010, Vancouver, BC, Canada.

PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader


In the light of an increasing demand on business process compliance, the verication of process models against compliance rules has become essential in enterprise computing. To be broadly applicable compliance checking has to support data-aware compliance rules as well as to consider data conditions within a process model. Independently of the actual technique applied to accomplish compliance checking, dataawareness means that in addition to the control ow dimension, the data dimension has to be explored during compliance checking. However, naive exploration of the data dimension can lead to state explosion. We address this issue by introducing an abstraction approach in this paper. We show how state explosion can be avoided by conducting compliance checking for an abstract process model and abstract compliance rules. Our abstraction approach can serve as preprocessing step to the actual compliance checking and provides the basis for more ecient application of existing compliance checking algorithms.

Item Type:Conference or Workshop Item (Paper)
Subjects:DBIS Research > Publications
ID Code:665
Deposited By: Linh Thao Ly
BibTex Export:BibTeX
Deposited On:02 Jun 2010 09:19
Last Modified:11 May 2012 10:07

Repository Staff Only: item control page