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

• 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: Computer science.; Information technology.; Business > Data processing.; Software engineering.; Application software.; Computer Science.; Information Systems Applications (incl. Internet).; IT in Business.; Computer Appl. in Administrative Data Processing.; Software Engineering.
• Φυσική περιγραφή: XX, 194 p. online resource.
• ISBN: 9783540892243
• ISSN: 1865-1348 ;

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.