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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 The Field of Software Language Engineering
  3. Altmetric Badge
    Chapter 2 Model-Driven Engineering Meets Generic Language Technology
  4. Altmetric Badge
    Chapter 3 Software Language Engineering
  5. Altmetric Badge
    Chapter 4 Neon: A Library for Language Usage Analysis
  6. Altmetric Badge
    Chapter 5 Analyzing Rule-Based Behavioral Semantics of Visual Modeling Languages with Maude
  7. Altmetric Badge
    Chapter 6 Parse Table Composition
  8. Altmetric Badge
    Chapter 7 Practical Scope Recovery Using Bridge Parsing
  9. Altmetric Badge
    Chapter 8 Generating Rewritable Abstract Syntax Trees
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    Chapter 9 Systematic Usage of Embedded Modelling Languages in Automated Model Transformation Chains
  11. Altmetric Badge
    Chapter 10 Engineering a DSL for Software Traceability
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    Chapter 11 Towards an Incremental Update Approach for Concrete Textual Syntaxes for UUID-Based Model Repositories
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    Chapter 12 A Model Engineering Approach to Tool Interoperability
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    Chapter 13 Engineering Languages for Specifying Product-Derivation Processes in Software Product Lines
  15. Altmetric Badge
    Chapter 14 Transformation Language Integration Based on Profiles and Higher Order Transformations
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    Chapter 15 Formalization and Rule-Based Transformation of EMF Ecore-Based Models
  17. Altmetric Badge
    Chapter 16 A Practical Evaluation of Using TXL for Model Transformation
  18. Altmetric Badge
    Chapter 17 DeFacto : Language-Parametric Fact Extraction from Source Code
  19. Altmetric Badge
    Chapter 18 A Case Study in Grammar Engineering
  20. Altmetric Badge
    Chapter 19 Sudoku – A Language Description Case Study
  21. Altmetric Badge
    Chapter 20 The Java Programmer’s Phrase Book
Attention for Chapter 3: Software Language Engineering
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#4 of 118)
  • High Attention Score compared to outputs of the same age (84th percentile)

Mentioned by

twitter
8 X users

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
108 Mendeley
citeulike
3 CiteULike
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Chapter title
Software Language Engineering
Chapter number 3
Book title
Software Language Engineering
Published in
Syntax, January 2009
DOI 10.1007/978-3-642-00434-6_3
Book ISBNs
978-3-64-200433-9, 978-3-64-200434-6
Authors

Daniel Moody, Jos van Hillegersberg

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 2%
Brazil 2 2%
Portugal 1 <1%
Chile 1 <1%
France 1 <1%
Switzerland 1 <1%
Australia 1 <1%
Israel 1 <1%
United Kingdom 1 <1%
Other 5 5%
Unknown 92 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 24%
Student > Master 18 17%
Researcher 16 15%
Student > Bachelor 8 7%
Professor > Associate Professor 8 7%
Other 17 16%
Unknown 15 14%
Readers by discipline Count As %
Computer Science 63 58%
Business, Management and Accounting 6 6%
Psychology 5 5%
Engineering 4 4%
Linguistics 3 3%
Other 7 6%
Unknown 20 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 08 October 2021.
All research outputs
#5,331,425
of 25,452,734 outputs
Outputs from Syntax
#4
of 118 outputs
Outputs of similar age
#28,345
of 183,630 outputs
Outputs of similar age from Syntax
#1
of 1 outputs
Altmetric has tracked 25,452,734 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 118 research outputs from this source. They receive a mean Attention Score of 1.6. This one has done particularly well, scoring higher than 97% 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 183,630 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 84% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them