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...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Mendling, Jan (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Lecture Notes in Business Information Processing, 6
Temas:
Application software.
Business information services.
Information technology > Management.
Software engineering.
Computer and Information Systems Applications.
IT in Business.
Computer Application in Administrative Data Processing.
Software Engineering.
Acceso en línea:Texto Completo
Descripción
Sumario: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.
Descripción Física:XX, 194 p. online resource.
ISBN:9783540892243
ISSN:1865-1356 ;

Ejemplares similares