Metrics for Process Models: Empirical Foundations of Verification, Error Prediction, and Guidelines for Correctness

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Springer Science & Business Media, Oct 20, 2008 - Computers - 194 pages

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.

 

Contents

Business Process Management
1
EventDriven Process Chains EPC
16
Verification of EPC Soundness
59
Metrics for Business Process Models
103
Validation of Metrics as Error Predictors
134
Implications for Business Process Modeling
151
Transition Relation of EPCs Based on State and Context
155
References
165
Index
191
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