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Integrating Business Process Models and Rules

Empirical Evidence and Decision Framework

  • Wei Wang

Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 343)

Table of contents

  1. Front Matter
    Pages I-XII
  2. Wei Wang
    Pages 1-8
  3. Wei Wang
    Pages 9-28
  4. Wei Wang
    Pages 29-33
  5. Wei Wang
    Pages 94-99
  6. Back Matter
    Pages 101-127

About this book

Introduction

This book combines multiple research methods, experiment, survey, and design science, as well as traditional measurements and neurophysiological techniques that can capture a variety of cognitive behaviors in human information processing, providing more solid and comprehended research findings. While the focus of the book is the modelling of process models and rules, the methods and techniques used in this book can also be adopted and applied to broader conceptual modelling research incorporating a variety of notations (e.g. UML, ER diagrams) or ontologies.

It is a revised version of the PhD dissertation written by the author at the School of Information Technology and Electrical Engineering of the University of Queensland, Australia. In 2018, the PhD dissertation won the “CAiSE PhD Award,” granted to outstanding PhD theses in the field of information systems engineering.

Keywords

business process modeling software engineering design science business rules empirical models conceptual modeling

Authors and affiliations

  1. 1.School of Information Technology and Electrical EngineeringUniversity of QueenslandBrisbaneAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-11809-9
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-11808-2
  • Online ISBN 978-3-030-11809-9
  • Series Print ISSN 1865-1348
  • Series Online ISSN 1865-1356
  • Buy this book on publisher's site
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