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Theory and practice of model transformations

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Table of Contents

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    Book Overview
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    Chapter 1 Transformations Have to be Developed ReST Assured
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    Chapter 2 Lifting Transformational Models of Product Lines: A Case Study
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    Chapter 3 Model Synchronisation: Definitions for Round-Trip Engineering
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    Chapter 4 The Epsilon Transformation Language
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    Chapter 5 Transforming Process Algebra Models into UML State Machines: Bridging a Semantic Gap?
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    Chapter 6 On Specifying and Visualising Long-Running Empirical Studies
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    Chapter 7 Programmed Graph Rewriting with Time for Simulation-Based Design
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    Chapter 8 Live Model Transformations Driven by Incremental Pattern Matching
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    Chapter 9 Semantics-Based Weaving of UML Sequence Diagrams
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    Chapter 10 Translation of QVT Relations into QVT Operational Mappings
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    Chapter 11 Composition Techniques for Rule-Based Model Transformation Languages
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    Chapter 12 Approaches for Model Transformation Reuse: Factorization and Composition
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    Chapter 13 Code Generation by Model Transformation
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    Chapter 14 Application of Reflection in Model Transformation Languages
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    Chapter 15 Proofs-as-Model-Transformations
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    Chapter 16 Analysing Graph Transformation Rules through OCL
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    Chapter 17 Extracting Object Interactions Out of Software Contracts Using Model Transformations
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Title
Theory and practice of model transformations
Published by
Springer Science & Business Media, June 2008
DOI 10.1007/978-3-540-69927-9
ISBNs
978-3-54-069926-2, 978-3-54-069927-9
Authors

Vallecillo, Antonio, Gray, Jeff, Pierantonio, Alfonso

Editors

Vallecillo, Antonio, Gray, Jeff, Pierantonio, Alfonso

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 2 29%
Student > Bachelor 2 29%
Student > Ph. D. Student 1 14%
Student > Master 1 14%
Lecturer 1 14%
Other 0 0%
Readers by discipline Count As %
Arts and Humanities 2 29%
Engineering 2 29%
Computer Science 2 29%
Sports and Recreations 1 14%