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Published in:
2013 | OriginalPaper | Chapter
Aligning Event Logs and Process Models for Multi-perspective Conformance Checking: An Approach Based on Integer Linear Programming
Authors : Massimiliano de Leoni, Wil M. P. van der Aalst
Published in: Business Process Management
Publisher: Springer Berlin Heidelberg
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Modern organizations have invested in collections of descriptive and/or normative process models, but these rarely describe the actual processes adequately. Therefore, a variety of techniques for
conformance checking
have been proposed to pinpoint discrepancies between modeled and observed behavior. However, these techniques typically focus on the control-flow and
abstract from data, resources and time
. This paper describes an approach that aligns event log and model while taking
all
perspectives into account (i.e., also data, time and resources). This way it is possible to quantify conformance and analyze differences between model and reality. The approach was implemented using ProM and has been evaluated using both synthetic event logs and a real-life case study.