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Conceptual Modeling Perspectives

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Cover of 'Conceptual Modeling Perspectives'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 A Tribute to Antoni Olivé on the Occasion of His Retirement
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    Chapter 2 30 Years of Contributions to Conceptual Modeling
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    Chapter 3 Modeling Life: A Conceptual Schema-centric Approach to Understand the Genome
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    Chapter 4 Strategic Reading & Conceptual Modeling
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    Chapter 5 Conceptual Modeling for Indicator Selection
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    Chapter 6 Conceptual Modeling in Accelerating Information Ingest into Family Tree
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    Chapter 7 Model Centered Architecture
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    Chapter 8 Design-time Models for Resiliency
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    Chapter 9 Web System Development Using Polymorphic Widgets and Generic Schemas
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    Chapter 10 Model-Based Engineering for Database System Development
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    Chapter 11 Quality Improvement of Conceptual UML and OCL Schemata through Model Validation and Verification
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    Chapter 12 CreatingWorlds with Words: Ontology-guided Conceptual Modeling for Institutional Domains
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    Chapter 13 Quality of Conceptual Models in Model Driven Software Engineering
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    Chapter 14 A Unified Conceptual Framework for Managing Services in the Web Oriented Architecture
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    Chapter 15 Handling the Evolution of Information Systems: An Overview of Challenges and Prospective Solutions
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    Chapter 16 On Warehouses, Lakes, and Spaces: The Changing Role of Conceptual Modeling for Data Integration
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    Chapter 17 A Method for Emerging Technology Evaluation. Application to Blockchain and Smart Data Discovery
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    Chapter 18 The Early Days of Entity-Relationship Modeling Retrospective on Dataid Project and Beyond
Attention for Chapter 13: Quality of Conceptual Models in Model Driven Software Engineering
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Chapter title
Quality of Conceptual Models in Model Driven Software Engineering
Chapter number 13
Book title
Conceptual Modeling Perspectives
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-67271-7_13
Book ISBNs
978-3-31-967270-0, 978-3-31-967271-7
Authors

John Krogstie, Krogstie, John

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 2 20%
Researcher 2 20%
Professor 1 10%
Student > Master 1 10%
Unknown 4 40%
Readers by discipline Count As %
Computer Science 5 50%
Engineering 2 20%
Unknown 3 30%