Advertisement

© 2008

Metrics for Process Models

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

Book

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

  1. 1.Institut für WirtschaftsinformatikHumboldt-Universität zu BerlinBerlinGermany

Bibliographic information

Industry Sectors
Pharma
Automotive
Chemical Manufacturing
Biotechnology
IT & Software
Telecommunications
Consumer Packaged Goods
Engineering
Finance, Business & Banking
Electronics
Energy, Utilities & Environment
Aerospace