Mendling, Jan. <br/><br/>
Metrics for Process Models  Empirical Foundations of Verification, Error Prediction, and Guidelines for Correctness /  [electronic resource] : 
by Jan Mendling. 
 -  online resource. 
 - Lecture Notes in Business Information Processing,  6  1865-1348 ; .
 - Lecture Notes in Business Information Processing,  6 .
<br/><br/>Business Process Management -- Event-Driven Process Chains (EPC) -- Verification of EPC Soundness -- Metrics for Business Process Models -- Validation of Metrics as Error Predictors -- Implications for Business Process Modeling. 
<br/><br/>ZDB-2-SCS 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9783540892243 
<br/><br/><label>Standard No.: </label>10.1007/978-3-540-89224-3  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Computer science.<br/>Software engineering.<br/>Information systems.<br/>Management information systems.<br/>Computer Science.<br/>Information Systems Applications (incl.Internet).<br/>Business Information Systems.<br/>Computer Appl. in Administrative Data Processing.<br/>Software Engineering.
<br/><br/><label>LC Class. No.: </label>QA76.76.A65 
<br/><br/><label>Dewey Class. No.: </label>005.7