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Metrics for Process Models: Empirical Foundations of Verification, Error Prediction, and Guidelines for Correctness (Lecture Notes in Business Information Processing, 6) - Softcover
Synopsis
Business process modeling plays an important role in the management of business processes. As valuable design artifacts, business process models are subject to quality considerations. The absence of formal errors such as deadlocks is of paramount importance for the subsequent implementation of the process.
In his book Jan Mendling develops a framework for the detection of formal errors in business process models and the prediction of error probability based on quality attributes of these models (metrics). He presents a precise description of Event-driven Process Chains (EPCs), their control-flow semantics and a suitable correctness criterion called EPC soundness.
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From the Back Cover
Business process modeling plays an important role in the management of business processes. As valuable design artifacts, business process models are subject to quality considerations. The absence of formal errors such as deadlocks is of paramount importance for the subsequent implementation of the process.
In his book Jan Mendling develops a framework for the detection of formal errors in business process models and the prediction of error probability based on quality attributes of these models (metrics). He presents a precise description of Event-driven Process Chains (EPCs), their control-flow semantics and a suitable correctness criterion called EPC soundness.
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- PublisherSpringer
- Publication date2008
- ISBN 10 3540892230
- ISBN 13 9783540892236
- BindingPaperback
- LanguageEnglish
- Number of pages214
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