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

✍ Scribed by Jan Mendling (auth.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2009
• Tongue: English
• Leaves: 204
• Series: Lecture Notes in Business Information Processing 6
• Edition: 1
• Category: Library

✦ 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.

✦ Table of Contents

Front Matter....Pages -
Business Process Management....Pages 1-15
Event-Driven Process Chains (EPC)....Pages 17-57
Verification of EPC Soundness....Pages 59-102
Metrics for Business Process Models....Pages 103-133
Validation of Metrics as Error Predictors....Pages 135-150
Implications for Business Process Modeling....Pages 151-154
Back Matter....Pages -

✦ Subjects

Information Systems Applications (incl.Internet); Business Information Systems; Computer Appl. in Administrative Data Processing; Software Engineering