Data- and Resource-Aware Conformance Checking of Business Processes

Process mining is not restricted to process discovery and also includes conformance checking, i.e., checking whether observed behavior recorded in the event log matches modeled behavior. Many organizations have descriptive or normative models that do not adequately describe the actual processes. Therefore, a variety of techniques for conformance checking have been proposed. However, all of these techniques focus on the control-flow and abstract from data and resources. This paper describes an approach that aligns event log and model while taking all perspectives into account (i.e., also data and resources). This way it is possible to quantify conformance and analyze differences between model and reality. The approach has been implemented in ProM and evaluated using a variety of model-log combinations.