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Metrics for Process Models

Empirical Foundations of Verification, Error Prediction, and Guidelines for Correctness

  • Book
  • © 2008

Overview

Part of the book series: Lecture Notes in Business Information Processing (LNBIP, volume 6)

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Table of contents (6 chapters)

Keywords

About this book

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.

Authors and Affiliations

  • Institut für Wirtschaftsinformatik, Humboldt-Universität zu Berlin, Berlin, Germany

    Jan Mendling

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