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Modelling Foundations and Applications

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Cover of 'Modelling Foundations and Applications'

Table of Contents

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    Book Overview
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    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
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    Chapter 17 Experiences with Business Process Model and Notation for Modeling Integration Patterns
Attention for Chapter 15: Neo4EMF, A Scalable Persistence Layer for EMF Models
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34 Mendeley
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Chapter title
Neo4EMF, A Scalable Persistence Layer for EMF Models
Chapter number 15
Book title
Modelling Foundations and Applications
Published by
Springer, Cham, July 2014
DOI 10.1007/978-3-319-09195-2_15
Book ISBNs
978-3-31-909194-5, 978-3-31-909195-2
Authors

Amine Benelallam, Abel Gómez, Gerson Sunyé, Massimo Tisi, David Launay

Mendeley readers

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 %
Hungary 1 3%
Germany 1 3%
France 1 3%
Unknown 31 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 26%
Student > Master 7 21%
Student > Bachelor 4 12%
Researcher 4 12%
Student > Postgraduate 2 6%
Other 6 18%
Unknown 2 6%
Readers by discipline Count As %
Computer Science 26 76%
Engineering 2 6%
Economics, Econometrics and Finance 2 6%
Agricultural and Biological Sciences 1 3%
Unknown 3 9%