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Metrics for Process Models

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

  • Jan Mendling

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

Table of contents

  1. Front Matter
  2. Jan Mendling
    Pages 1-15
  3. Jan Mendling
    Pages 17-57
  4. Jan Mendling
    Pages 59-102
  5. Jan Mendling
    Pages 103-133
  6. Jan Mendling
    Pages 135-150
  7. Jan Mendling
    Pages 151-154
  8. Back Matter

About this book

Introduction

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.

Keywords

Business Process Modeling SAP Workflow business business process business process management design management modeling probability process management reference model semantics structured analysis verification

Authors and affiliations

  • Jan Mendling
    • 1
  1. 1.Institut für WirtschaftsinformatikHumboldt-Universität zu BerlinBerlinGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-89224-3
  • Copyright Information Springer Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-89223-6
  • Online ISBN 978-3-540-89224-3
  • Series Print ISSN 1865-1348
  • Series Online ISSN 1865-1356
  • Buy this book on publisher's site