Metrics for Process Models: Empirical Foundations of Verification, Error Prediction, and Guidelines for Correctness: Lecture Notes in Business Information Processing, cartea 6
Autor Jan Mendlingen Limba Engleză Paperback – 22 oct 2008
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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Specificații
ISBN-13: 9783540892236
ISBN-10: 3540892230
Pagini: 216
Ilustrații: XX, 194 p.
Dimensiuni: 155 x 235 x 23 mm
Greutate: 0.34 kg
Ediția:2008
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Lecture Notes in Business Information Processing
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3540892230
Pagini: 216
Ilustrații: XX, 194 p.
Dimensiuni: 155 x 235 x 23 mm
Greutate: 0.34 kg
Ediția:2008
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Lecture Notes in Business Information Processing
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
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.
Textul de pe ultima copertă
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.
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.
Caracteristici
Includes supplementary material: sn.pub/extras