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Detection and prediction of errors in EPCs of the SAP reference model
2008
Data & Knowledge Engineering
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Up to now there is neither data available on how many errors can be expected in process model collections, nor is it understood why errors are introduced. In this article, we provide empirical evidence for these questions based on the SAP reference model. This model collection contains about 600 process models expressed as Eventdriven Process Chains (EPCs). We translated these EPCs into YAWL models, and analyzed them using the verification tool WofYAWL. We discovered that at least 34 of these
doi:10.1016/j.datak.2007.06.019
fatcat:neejudfcjjcgzatczurbtbbwda