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Theory and Practice of Model Transformations

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Cover of 'Theory and Practice of Model Transformations'

Table of Contents

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    Book Overview
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    Chapter 1 Fine-Tuning Model Transformation: Change Propagation in Context of Consistency, Completeness, and Human Guidance
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    Chapter 2 Optimization of Visitor Performance by Reflection-Based Analysis
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    Chapter 3 A Comparison of Rule Inheritance in Model-to-Model Transformation Languages
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    Chapter 4 Model-Driven Development of Model Transformations
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    Chapter 5 Generic Model Transformations: Write Once, Reuse Everywhere
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    Chapter 6 Combining Specification-Based and Code-Based Coverage for Model Transformation Chains
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    Chapter 7 A Transformation Workbench for Building Information Models
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    Chapter 8 Model Transformation Analysis: Staying Ahead of the Maintenance Nightmare
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    Chapter 9 Iterative Development of Consistency-Preserving Rule-Based Refactorings
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    Chapter 10 Toward Bidirectionalization of ATL with GRoundTram
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    Chapter 11 An Evaluation of the Graphical Modeling Framework (GMF) Based on the Development of the CORAS Tool
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    Chapter 12 A Graph Query Language for EMF Models
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    Chapter 13 The GReTL Transformation Language
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    Chapter 14 Performance in Model Transformations: Experiments with ATL and QVT
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    Chapter 15 A Demonstration-based Approach to Support Live Transformations in a Model Editor
Attention for Chapter 6: Combining Specification-Based and Code-Based Coverage for Model Transformation Chains
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Citations

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Chapter title
Combining Specification-Based and Code-Based Coverage for Model Transformation Chains
Chapter number 6
Book title
Theory and Practice of Model Transformations
Published by
Springer, Berlin, Heidelberg, June 2011
DOI 10.1007/978-3-642-21732-6_6
Book ISBNs
978-3-64-221731-9, 978-3-64-221732-6
Authors

Eduard Bauer, Jochen M. Küster

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 13%
Unknown 7 88%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 50%
Student > Ph. D. Student 3 38%
Unknown 1 13%
Readers by discipline Count As %
Computer Science 7 88%
Unknown 1 13%

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