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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
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Chapter title
Level-Agnostic Designation of Model Elements
Chapter number 2
Book title
Modelling Foundations and Applications
Published by
Springer International Publishing, January 2014
DOI 10.1007/978-3-319-09195-2_2
Book ISBNs
978-3-31-909194-5, 978-3-31-909195-2
Authors

Colin Atkinson, Ralph Gerbig

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

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 20%
Student > Bachelor 1 20%
Professor 1 20%
Student > Ph. D. Student 1 20%
Student > Master 1 20%
Other 0 0%
Readers by discipline Count As %
Computer Science 5 100%