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

• Main Author: Mendling, Jan (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
• Series: Lecture Notes in Business Information Processing, 6
• Subjects: 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.

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...

Table of Contents:

• 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.