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Generative and Transformational Techniques in Software Engineering

Overview of attention for book
Cover of 'Generative and Transformational Techniques in Software Engineering'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 A Tutorial on Feature Oriented Programming and the AHEAD Tool Suite
  3. Altmetric Badge
    Chapter 2 Generative and Transformational Techniques in Software Engineering
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    Chapter 3 Program Transformation with Reflection and Aspect-Oriented Programming
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    Chapter 4 The Transformational Approach to Database Engineering
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    Chapter 5 Program Optimizations and Transformations in Calculation Form
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    Chapter 6 Mappings Make Data Processing Go ’Round
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    Chapter 7 On the Use of Graph Transformations for Model Refactoring
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    Chapter 8 Forms2Net – Migrating Oracle Forms to Microsoft .NET
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    Chapter 9 Applications of the Asf + Sdf Meta-Environment
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    Chapter 10 MetaBorg in Action: Examples of Domain-Specific Language Embedding and Assimilation Using Stratego/XT
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    Chapter 11 Agile Parsing to Transform Web Applications
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    Chapter 12 Data Cleaning and Transformation Using the AJAX Framework
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    Chapter 13 Developing Tools with Fujaba XProM
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    Chapter 14 The COMPOST, COMPASS, Inject/J and RECODER Tool Suite for Invasive Software Composition: Invasive Composition with COMPASS Aspect-Oriented Connectors
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    Chapter 15 Program Transformation Using HATS 1.84
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    Chapter 16 Using Java CSP Solvers in the Automated Analyses of Feature Models
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    Chapter 17 Co-transformations in Database Applications Evolution
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    Chapter 18 Modular Name Analysis for Java Using JastAdd
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    Chapter 19 Techniques for Lightweight Generator Refactoring
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    Chapter 20 E-CARES Project: Reengineering of Telecommunication Systems
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    Chapter 21 A Feature Composition Problem and a Solution Based on C++ Template Metaprogramming
Attention for Chapter 2: Generative and Transformational Techniques in Software Engineering
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Mentioned by

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1 tweeter

Citations

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9 Dimensions

Readers on

mendeley
110 Mendeley
citeulike
6 CiteULike
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Chapter title
Generative and Transformational Techniques in Software Engineering
Chapter number 2
Book title
Generative and Transformational Techniques in Software Engineering
Published in
Lecture notes in computer science, May 2016
DOI 10.1007/11877028_2
Book ISBNs
978-3-54-045778-7, 978-3-54-046235-4
Authors

Jean Bézivin

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 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 4 4%
Spain 4 4%
United States 2 2%
United Kingdom 1 <1%
Australia 1 <1%
Canada 1 <1%
China 1 <1%
Italy 1 <1%
Germany 1 <1%
Other 0 0%
Unknown 94 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 34%
Student > Master 22 20%
Researcher 15 14%
Student > Bachelor 9 8%
Professor > Associate Professor 7 6%
Other 17 15%
Unknown 3 3%
Readers by discipline Count As %
Computer Science 85 77%
Engineering 17 15%
Unspecified 1 <1%
Physics and Astronomy 1 <1%
Arts and Humanities 1 <1%
Other 0 0%
Unknown 5 5%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 May 2016.
All research outputs
#5,793,726
of 7,659,635 outputs
Outputs from Lecture notes in computer science
#4,839
of 6,438 outputs
Outputs of similar age
#186,688
of 266,484 outputs
Outputs of similar age from Lecture notes in computer science
#51
of 79 outputs
Altmetric has tracked 7,659,635 research outputs across all sources so far. This one is in the 13th percentile – i.e., 13% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,438 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 15th percentile – i.e., 15% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 266,484 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 79 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.