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Meta-Programming and Model-Driven Meta-Program Development

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Cover of 'Meta-Programming and Model-Driven Meta-Program Development'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Taxonomy of Fundamental Concepts of Meta-Programming
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    Chapter 3 A Background of Meta-Programming Techniques
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    Chapter 4 Homogeneous Meta-Programming Techniques with Case Study
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    Chapter 5 Structural Heterogeneous Meta-Programming
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    Chapter 6 Open PROMOL: A Meta-Language for Heterogeneous Meta-Programming
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    Chapter 7 A Framework to Deal with Heterogeneous Meta-Programming in Large: Meta-Program Lifecycle
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    Chapter 8 A Model-Driven View to Meta-Program Development Process
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    Chapter 9 Cognitive Insights into Feature Diagram Notation and Beyond
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    Chapter 10 Meta-Programming Task Specification Using Feature-Based Patterns and Domain Program Scenarios
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    Chapter 11 Meta-Program Development as a Model Transformation Process
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    Chapter 12 Complexity Evaluation of Feature Models and Meta-Programs
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    Chapter 13 A Framework: How Can Heterogeneous Meta-Programs Be Further Generalized?
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    Chapter 14 Meta-Meta-Programming and Equivalent Transformations of Heterogeneous Meta-Programs
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    Chapter 15 Multi-Linguistic Aspects of Heterogeneous Meta-Programming in Web Applications
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    Chapter 16 Applications of Meta-Programming Methodology
Attention for Chapter 8: A Model-Driven View to Meta-Program Development Process
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Citations

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Summary Dimensions citations
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Chapter title
A Model-Driven View to Meta-Program Development Process
Chapter number 8
Book title
Meta-Programming and Model-Driven Meta-Program Development
Published by
Springer, London, January 2013
DOI 10.1007/978-1-4471-4126-6_8
Book ISBNs
978-1-4471-4125-9, 978-1-4471-4126-6
Authors

Vytautas Štuikys, Robertas Damaševičius

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Mendeley readers

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 > Ph. D. Student 2 29%
Student > Master 2 29%
Lecturer > Senior Lecturer 1 14%
Professor 1 14%
Unknown 1 14%
Readers by discipline Count As %
Computer Science 5 71%
Unknown 2 29%

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