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

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 p...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Mendling, Jan (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
Σειρά:Lecture Notes in Business Information Processing, 6
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Mendling, Jan.  |e author. 
245 1 0 |a Metrics for Process Models  |h [electronic resource] :  |b Empirical Foundations of Verification, Error Prediction, and Guidelines for Correctness /  |c by Jan Mendling. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg,  |c 2008. 
300 |a XX, 194 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
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490 1 |a Lecture Notes in Business Information Processing,  |x 1865-1348 ;  |v 6 
505 0 |a 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. 
520 |a 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. 
650 0 |a Computer science. 
650 0 |a Information technology. 
650 0 |a Business  |x Data processing. 
650 0 |a Software engineering. 
650 0 |a Application software. 
650 1 4 |a Computer Science. 
650 2 4 |a Information Systems Applications (incl. Internet). 
650 2 4 |a IT in Business. 
650 2 4 |a Computer Appl. in Administrative Data Processing. 
650 2 4 |a Software Engineering. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783540892236 
830 0 |a Lecture Notes in Business Information Processing,  |x 1865-1348 ;  |v 6 
856 4 0 |u http://dx.doi.org/10.1007/978-3-540-89224-3  |z Full Text via HEAL-Link 
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950 |a Computer Science (Springer-11645)