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Model Driven Engineering Languages and Systems

Overview of attention for book
Cover of 'Model Driven Engineering Languages and Systems'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 A Unified Approach to Modeling and Programming
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    Chapter 2 Generic Meta-modelling with Concepts, Templates and Mixin Layers
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    Chapter 3 An Observer-Based Notion of Model Inheritance
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    Chapter 4 MDE-Based Approach for Generalizing Design Space Exploration
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    Chapter 5 A Comparison of Model Migration Tools
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    Chapter 6 Incremental Evaluation of Model Queries over EMF Models
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    Chapter 7 Active Operations on Collections
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    Chapter 8 trans ML: A Family of Languages to Model Model Transformations
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    Chapter 9 Henshin: Advanced Concepts and Tools for In-Place EMF Model Transformations
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    Chapter 10 A Technique for Automatic Validation of Model Transformations
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    Chapter 11 Static- and Dynamic Consistency Analysis of UML State Chart Models
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    Chapter 12 Verifying Semantic Conformance of State Machine-to-Java Code Generators
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    Chapter 13 A Dynamic-Priority Based Approach to Fixing Inconsistent Feature Models
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    Chapter 14 Taming Graphical Modeling
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    Chapter 15 Taming EMF and GMF Using Model Transformation
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    Chapter 16 A Visual Traceability Modeling Language
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    Chapter 17 Application Logic Patterns – Reusable Elements of User-System Interaction
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    Chapter 18 A Metamodel-Based Approach for Automatic User Interface Generation
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    Chapter 19 Rapid UI Development for Enterprise Applications: Combining Manual and Model-Driven Techniques
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    Chapter 20 Environment Modeling with UML/MARTE to Support Black-Box System Testing for Real-Time Embedded Systems: Methodology and Industrial Case Studies
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    Chapter 21 Improving Test Models for Large Scale Industrial Systems: An Inquisitive Study
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    Chapter 22 Automatically Discovering Properties That Specify the Latent Behavior of UML Models
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    Chapter 23 Towards a Semantics of Activity Diagrams with Semantic Variation Points
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    Chapter 24 An AADL-Based Approach to Variability Modeling of Automotive Control Systems
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    Chapter 25 Extending Variability for OCL Interpretation
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    Chapter 26 Inter-modelling: From Theory to Practice
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    Chapter 27 Consistent Modeling Using Multiple UML Profiles
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    Chapter 28 A Systematic Review on the Definition of UML Profiles
Attention for Chapter 2: Generic Meta-modelling with Concepts, Templates and Mixin Layers
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Mentioned by

twitter
2 tweeters

Citations

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5 Dimensions

Readers on

mendeley
34 Mendeley
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Chapter title
Generic Meta-modelling with Concepts, Templates and Mixin Layers
Chapter number 2
Book title
Model Driven Engineering Languages and Systems
Published in
Lecture notes in computer science, October 2010
DOI 10.1007/978-3-642-16145-2_2
Book ISBNs
978-3-64-216144-5, 978-3-64-216145-2
Authors

Juan de Lara, Esther Guerra

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 6%
France 2 6%
Germany 1 3%
China 1 3%
United Kingdom 1 3%
Unknown 27 79%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 38%
Student > Master 5 15%
Researcher 4 12%
Professor > Associate Professor 4 12%
Student > Doctoral Student 2 6%
Other 6 18%
Readers by discipline Count As %
Computer Science 29 85%
Engineering 2 6%
Social Sciences 1 3%
Unspecified 1 3%
Unknown 1 3%

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 02 March 2016.
All research outputs
#11,240,914
of 17,367,552 outputs
Outputs from Lecture notes in computer science
#4,257
of 7,689 outputs
Outputs of similar age
#132,328
of 236,289 outputs
Outputs of similar age from Lecture notes in computer science
#46
of 77 outputs
Altmetric has tracked 17,367,552 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,689 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 27th percentile – i.e., 27% 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 236,289 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.