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Software Language Engineering

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

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 A Language for Software Variation Research
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    Chapter 2 Automated Selective Caching for Reference Attribute Grammars
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    Chapter 3 Reference Attribute Grammars for Metamodel Semantics
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    Chapter 4 Modelling GLL Parser Implementations
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    Chapter 5 Metamodel Usage Analysis for Identifying Metamodel Improvements
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    Chapter 6 Domain-Specific Modelling Languages with Algebraic Graph Transformations on RDF
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    Chapter 7 Feature and Meta-Models in Clafer: Mixed, Specialized, and Coupled
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    Chapter 8 Support for the Evolution of C++ Generic Functions
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    Chapter 9 Automated Co-evolution of GMF Editor Models
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    Chapter 10 An Extensive Catalog of Operators for the Coupled Evolution of Metamodels and Models
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    Chapter 11 JTL: A Bidirectional and Change Propagating Transformation Language
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    Chapter 12 Software Engineering and the Semantic Web: A Match Made in Heaven or in Hell?
  14. Altmetric Badge
    Chapter 13 A Unified Format for Language Documents
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    Chapter 14 Canonical Method Names for Java
  16. Altmetric Badge
    Chapter 15 Subjective-C
  17. Altmetric Badge
    Chapter 16 The Level-Agnostic Modeling Language
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    Chapter 17 Debugging in Domain-Specific Modelling
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    Chapter 18 COPE – A Workbench for the Coupled Evolution of Metamodels and Models
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    Chapter 19 DSLTrans: A Turing Incomplete Transformation Language
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    Chapter 20 Translator Generation Using ART
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    Chapter 21 Empirical Language Analysis in Software Linguistics
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    Chapter 22 Interactive Disambiguation of Meta Programs with Concrete Object Syntax
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    Chapter 23 Evaluating a Textual Feature Modelling Language: Four Industrial Case Studies
  25. Altmetric Badge
    Chapter 24 Extending DMM Behavior Specifications for Visual Execution and Debugging
  26. Altmetric Badge
    Chapter 25 Analysing the Cognitive Effectiveness of the BPMN 2.0 Visual Notation
  27. Altmetric Badge
    Chapter 26 Featherweight TeX and Parser Correctness
Attention for Chapter 16: The Level-Agnostic Modeling Language
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Chapter title
The Level-Agnostic Modeling Language
Chapter number 16
Book title
Software Language Engineering
Published in
Lecture notes in computer science, October 2010
DOI 10.1007/978-3-642-19440-5_16
Book ISBNs
978-3-64-219439-9, 978-3-64-219440-5
Authors

Colin Atkinson, Bastian Kennel, Björn Goß, Atkinson, Colin, Kennel, Bastian, Goß, Björn

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 3%
Netherlands 1 3%
France 1 3%
Norway 1 3%
Australia 1 3%
Brazil 1 3%
Japan 1 3%
Unknown 26 79%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 30%
Student > Master 10 30%
Researcher 5 15%
Student > Doctoral Student 2 6%
Professor 1 3%
Other 2 6%
Unknown 3 9%
Readers by discipline Count As %
Computer Science 26 79%
Agricultural and Biological Sciences 2 6%
Social Sciences 1 3%
Engineering 1 3%
Unknown 3 9%
Attention Score in Context

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 28 November 2013.
All research outputs
#18,355,685
of 22,733,113 outputs
Outputs from Lecture notes in computer science
#6,008
of 8,126 outputs
Outputs of similar age
#88,607
of 98,919 outputs
Outputs of similar age from Lecture notes in computer science
#35
of 49 outputs
Altmetric has tracked 22,733,113 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,126 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
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We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.