Metrics for process models : empirical foundations of verification, error prediction, and guidelines for correctness

Author(s)

    • Mendling, Jan

Bibliographic Information

Metrics for process models : empirical foundations of verification, error prediction, and guidelines for correctness

Jan Mendling

(Lecture notes in business information processing, 6)

Springer, c2008

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Note

Includes bibliographical references (p. [165]-190) and index

Description and Table of Contents

Description

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.

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.

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