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Modelling Foundations and Applications

Overview of attention for book
Cover of 'Modelling Foundations and Applications'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Efficient Model Synchronization with View Triple Graph Grammars
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    Chapter 2 Level-Agnostic Designation of Model Elements
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    Chapter 3 Towards Scalable Querying of Large-Scale Models
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    Chapter 4 OCLR : A More Expressive, Pattern-Based Temporal Extension of OCL
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    Chapter 5 Interpretation of Linguistic Architecture
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    Chapter 6 Alloy4SPV : A Formal Framework for Software Process Verification
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    Chapter 7 Sensor Data Visualisation: A Composition-Based Approach to Support Domain Variability
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    Chapter 8 Identifying and Visualising Commonality and Variability in Model Variants
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    Chapter 9 Modular DSLs for Flexible Analysis: An e-Motions Reimplementation of Palladio
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    Chapter 10 Language-Independent Traceability with Lässig
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    Chapter 11 A Family-Based Framework for i-DSML Adaptation
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    Chapter 12 Normalizing Heterogeneous Service Description Models with Generated QVT Transformations
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    Chapter 13 Towards the Systematic Construction of Domain-Specific Transformation Languages
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    Chapter 14 A MOF-Based Framework for Defining Metrics to Measure the Quality of Models
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    Chapter 15 Neo4EMF, A Scalable Persistence Layer for EMF Models
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    Chapter 16 Towards an Infrastructure for Domain-Specific Languages in a Multi-domain Cloud Platform
  18. Altmetric Badge
    Chapter 17 Experiences with Business Process Model and Notation for Modeling Integration Patterns
Attention for Chapter 12: Normalizing Heterogeneous Service Description Models with Generated QVT Transformations
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Chapter title
Normalizing Heterogeneous Service Description Models with Generated QVT Transformations
Chapter number 12
Book title
Modelling Foundations and Applications
Published in
Lecture notes in computer science, July 2014
DOI 10.1007/978-3-319-09195-2_12
Book ISBNs
978-3-31-909194-5, 978-3-31-909195-2
Authors

Simon Schwichtenberg, Christian Gerth, Zille Huma, Gregor Engels

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

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 38%
Student > Ph. D. Student 2 25%
Student > Bachelor 2 25%
Student > Master 1 13%
Readers by discipline Count As %
Computer Science 7 88%
Engineering 1 13%
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 23 July 2014.
All research outputs
#15,303,056
of 22,758,963 outputs
Outputs from Lecture notes in computer science
#4,648
of 8,126 outputs
Outputs of similar age
#132,197
of 228,570 outputs
Outputs of similar age from Lecture notes in computer science
#101
of 210 outputs
Altmetric has tracked 22,758,963 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% 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 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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We're also able to compare this research output to 210 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.