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Software Language Engineering

Overview of attention for book
Cover of 'Software Language Engineering'

Table of Contents

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    Book Overview
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    Chapter 1 ProMoBox: A Framework for Generating Domain-Specific Property Languages
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    Chapter 2 A SAT-Based Debugging Tool for State Machines and Sequence Diagrams
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    Chapter 3 Towards User-Friendly Projectional Editors
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    Chapter 4 Bounded Seas
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    Chapter 5 Eco: A Language Composition Editor
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    Chapter 6 The Moldable Debugger: A Framework for Developing Domain-Specific Debuggers
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    Chapter 7 Evaluating the Usability of a Visual Feature Modeling Notation
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    Chapter 8 A Metamodel Family for Role-Based Modeling and Programming Languages
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    Chapter 9 AIOCJ: A Choreographic Framework for Safe Adaptive Distributed Applications
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    Chapter 10 fUML as an Assembly Language for Model Transformation
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    Chapter 11 Software Language Engineering
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    Chapter 12 Software Language Engineering
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    Chapter 13 Model Checking of CTL-Extended OCL Specifications
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    Chapter 14 Unifying and Generalizing Relations in Role-Based Data Modeling and Navigation
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    Chapter 15 Simple, Efficient, Sound and Complete Combinator Parsing for All Context-Free Grammars, Using an Oracle
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    Chapter 16 Origin Tracking in Attribute Grammars
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    Chapter 17 Dynamic Scope Discovery for Model Transformations
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    Chapter 18 Streamlining Control Flow Graph Construction with DCFlow
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    Chapter 19 Test-Data Generation for Xtext
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
5 X users
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
4 Mendeley
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Title
Software Language Engineering
Published by
Lecture notes in computer science, January 2014
DOI 10.1007/978-3-319-11245-9
ISBNs
978-3-31-911244-2, 978-3-31-911245-9
Editors

Benoît Combemale, David J. Pearce, Olivier Barais, Jurgen J. Vinju

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 25%
Unknown 3 75%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 50%
Researcher 1 25%
Student > Ph. D. Student 1 25%
Readers by discipline Count As %
Computer Science 4 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 09 December 2016.
All research outputs
#5,746,518
of 22,908,162 outputs
Outputs from Lecture notes in computer science
#1,866
of 8,129 outputs
Outputs of similar age
#66,337
of 305,793 outputs
Outputs of similar age from Lecture notes in computer science
#84
of 280 outputs
Altmetric has tracked 22,908,162 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 8,129 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 77% of its peers.
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 305,793 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 280 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.