ENGLISH

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

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2009
ISBN
978-3-540-89223-6, 978-3-540-89224-3
DOI
10.1007/978-3-540-89224-3
Language
english
Format
PDF
Filesize
3 MB (3566385 bytes)
Series
Lecture Notes in Business Information Processing 6
Edition
1
Pages
194\204
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00

Description

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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