Integrating Business Process Models and Rules
Empirical Evidence and Decision Framework
Authors: Wang, Wei
Free Preview- Revised PhD dissertation
- Received the CAiSE PhD award for an outstanding thesis in the field of Information Systems Engineering
- Deals with open rewearch questions of integration methods
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- About this book
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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.
- Table of contents (8 chapters)
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Introduction
Pages 1-8
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Literature Review
Pages 9-28
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Methodology
Pages 29-33
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Rule Integration and Model Understanding: A Theoretical Underpinning
Pages 34-41
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The Effect of Rule Linking on Business Process Model Understanding
Pages 42-59
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Table of contents (8 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Integrating Business Process Models and Rules
- Book Subtitle
- Empirical Evidence and Decision Framework
- Authors
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- Wei Wang
- Series Title
- Lecture Notes in Business Information Processing
- Series Volume
- 343
- Copyright
- 2019
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer Nature Switzerland AG
- eBook ISBN
- 978-3-030-11809-9
- DOI
- 10.1007/978-3-030-11809-9
- Softcover ISBN
- 978-3-030-11808-2
- Series ISSN
- 1865-1348
- Edition Number
- 1
- Number of Pages
- XII, 127
- Number of Illustrations
- 55 b/w illustrations, 8 illustrations in colour
- Topics
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