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Enterprise, Business-Process and Information Systems Modeling

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Cover of 'Enterprise, Business-Process and Information Systems Modeling'

Table of Contents

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    Book Overview
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    Chapter 1 Towards a BPM Success Model: An Analysis in South African Financial Services Organisations
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    Chapter 2 A Conceptual Framework for Business Process Redesign
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    Chapter 3 Supporting Change in Business Process Models Using Pattern-Based Constraints
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    Chapter 4 Eliciting Goals for Business Process Models with Non-Functional Requirements Catalogues
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    Chapter 5 A Business Process-IT Alignment Method for Business Intelligence
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    Chapter 6 Analysis and Validation of Control-Flow Complexity Measures with BPMN Process Models
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    Chapter 7 Vertical Alignment of Process Models – How Can We Get There?
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    Chapter 8 Ontology-Based Description and Discovery of Business Processes
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    Chapter 9 A Method for Service Identification from Business Process Models in a SOA Approach
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    Chapter 10 IT Capability-Based Business Process Design through Service-Oriented Requirements Engineering
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    Chapter 11 Enterprise, Business-Process and Information Systems Modeling
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    Chapter 12 Discovering Business Rules through Process Mining
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    Chapter 13 Anomaly Detection Using Process Mining
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    Chapter 14 Pattern Mining in System Logs: Opportunities for Process Improvement
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    Chapter 15 Regulatory Compliance in Information Systems Research – Literature Analysis and Research Agenda
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    Chapter 16 Actor-Driven Approach for Business Process. How to Take into Account the Work Environment?
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    Chapter 17 Towards Object-Aware Process Management Systems: Issues, Challenges, Benefits
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    Chapter 18 Supporting Ontology-Based Semantic Annotation of Business Processes with Automated Suggestions
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    Chapter 19 On the Importance of Truly Ontological Distinctions for Ontology Representation Languages: An Industrial Case Study in the Domain of Oil and Gas
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    Chapter 20 UML Models Engineering from Static and Dynamic Aspects of Formal Specifications
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    Chapter 21 MDA-Based Reverse Engineering of Object Oriented Code
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    Chapter 22 Integrated Quality of Models and Quality of Maps
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    Chapter 23 Masev (Multiagent System Software Engineering Evaluation Framework)
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    Chapter 24 Transactions in ORM
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    Chapter 25 The Orchestration of Fact-Orientation and SBVR
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    Chapter 26 Goal-Directed Modeling of Self-adaptive Software Architecture
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    Chapter 27 A Goal Modeling Framework for Self-contextualizable Software
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    Chapter 28 Security and Consistency of IT and Business Models at Credit Suisse Realized by Graph Constraints, Transformation and Integration Using Algebraic Graph Theory
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    Chapter 29 Declarative versus Imperative Process Modeling Languages: The Issue of Understandability
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    Chapter 30 The Architecture of the ArchiMate Language
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    Chapter 31 Enterprise Meta Modeling Methods – Combining a Stakeholder-Oriented and a Causality-Based Approach
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    Chapter 32 Organizational Patterns for B2B Environments –Validation and Comparison
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    Chapter 33 Anti-patterns as a Means of Focusing on Critical Quality Aspects in Enterprise Modeling
Overall attention for this book and its chapters
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Citations

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Title
Enterprise, Business-Process and Information Systems Modeling
Published by
Springer Berlin Heidelberg, June 2009
DOI 10.1007/978-3-642-01862-6
ISBNs
978-3-64-201861-9, 978-3-64-201862-6
Editors

Halpin, Terry, Krogstie, John, Nurcan, Selmin, Proper, Erik, Schmidt, Rainer, Soffer, Pnina, Ukor, Roland

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X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 3%
Belgium 1 3%
Unknown 36 95%

Demographic breakdown

Readers by professional status Count As %
Lecturer 2 5%
Student > Doctoral Student 2 5%
Student > Master 2 5%
Student > Ph. D. Student 2 5%
Researcher 2 5%
Other 2 5%
Unknown 26 68%
Readers by discipline Count As %
Computer Science 6 16%
Business, Management and Accounting 3 8%
Engineering 3 8%
Unknown 26 68%