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

ISBN-13: 9783540892236 / Angielski / Miękka / 2008 / 194 str.

Jan Mendling

Opis

This book develops a framework for the detection of formal errors in business process models and the prediction of error probability. It precisely describes Event-driven Process Chains, their control flow semantics, and a suitable correctness criterion.

Spis treści

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.

Blurb

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.