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Metrics for Process Models: Empirical Foundations of Verification, Error Prediction, and Guidelines for Correctness (Lecture Notes in Business Information Processing)

Metrics for Process Models: Empirical Foundations of Verification, Error Prediction, and Guidelines for Correctness (Lecture Notes in Business Information Processing)Author: Jan Mendling
Publisher: Springer
Category: Book

List Price: $64.95
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Sales Rank: 3,176,902

Languages: English (Unknown), English (Original Language), English (Published)
Media: Paperback
Edition: 1
Pages: 212
Number Of Items: 1
Shipping Weight (lbs): 0.8
Dimensions (in): 9.1 x 6.1 x 0.6

ISBN: 3540892230
EAN: 9783540892236
ASIN: 3540892230

Publication Date: November 21, 2008
Availability: Usually ships in 1-2 business days

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Product 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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