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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

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Model-Driven Development of Mobile Applications Allowing Role-Driven Variants
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    Chapter 2 A Model-Based System to Automate Cloud Resource Allocation and Optimization
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    Chapter 3 An Evaluation of the Effectiveness of the Atomic Section Model
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    Chapter 4 Parsing in a Broad Sense
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    Chapter 5 Streaming Model Transformations By Complex Event Processing
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    Chapter 6 On the Use of Signatures for Source Incremental Model-to-text Transformation
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    Chapter 7 Modeling Systemic Behavior by State-Based Holonic Modular Units
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    Chapter 8 Semantic Model Differencing Utilizing Behavioral Semantics Specifications
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    Chapter 9 Formalizing Execution Semantics of UML Profiles with fUML Models
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    Chapter 10 Who Knows/Uses What of the UML: A Personal Opinion Survey
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    Chapter 11 Assessing the State-of-Practice of Model-Based Engineering in the Embedded Systems Domain
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    Chapter 12 The Relevance of Model-Driven Engineering Thirty Years from Now
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    Chapter 13 Model-Driven Verifying Compilation of Synchronous Distributed Applications
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    Chapter 14 Environment-Centric Contracts for Design of Cyber-Physical Systems
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    Chapter 15 Removing Redundancies and Deducing Equivalences in UML Class Diagrams
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    Chapter 16 A Native Versioning Concept to Support Historized Models at Runtime
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    Chapter 17 Modelling Adaptation Policies as Domain-Specific Constraints
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    Chapter 18 Scalable Armies of Model Clones through Data Sharing
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    Chapter 19 Three Cases of Feature-Based Variability Modeling in Industry
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    Chapter 20 Supporting Multiplicity and Hierarchy in Model-Based Configuration: Experiences and Lessons Learned
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    Chapter 21 Propagating Decisions to Detect and Explain Conflicts in a Multi-step Configuration Process
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    Chapter 22 An MDA Approach for the Generation of Communication Adapters Integrating SW and FW Components from Simulink
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    Chapter 23 A UML Model-Driven Approach to Efficiently Allocate Complex Communication Schemes
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    Chapter 24 Model-Integrating Software Components
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    Chapter 25 Experiences in Applying Model Driven Engineering to the Telescope and Instrument Control System Domain
  27. Altmetric Badge
    Chapter 26 Model Driven Grant Proposal Engineering
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    Chapter 27 Agile Model-Driven Engineering in Mechatronic Systems - An Industrial Case Study
  29. Altmetric Badge
    Chapter 28 Using UML for Modeling Procedural Legal Rules: Approach and a Study of Luxembourg’s Tax Law
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    Chapter 29 Resolution of Interfering Product Fragments in Software Product Line Engineering
  31. Altmetric Badge
    Chapter 30 Ontology-Based Modeling of Context-Aware Systems
  32. Altmetric Badge
    Chapter 31 Comprehending Feature Models Expressed in CVL
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    Chapter 32 On the Impact of Layout Quality to Understanding UML Diagrams: Size Matters
  34. Altmetric Badge
    Chapter 33 Enabling the Development of Cognitive Effective Visual DSLs
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    Chapter 34 JUMP—From Java Annotations to UML Profiles
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    Chapter 35 SIGMA: Scala Internal Domain-Specific Languages for Model Manipulations
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    Chapter 36 A Framework to Benchmark NoSQL Data Stores for Large-Scale Model Persistence
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    Chapter 37 Automated Chaining of Model Transformations with Incompatible Metamodels
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    Chapter 38 Classification of Model Transformation Tools: Pattern Matching Techniques
  40. Altmetric Badge
    Chapter 39 Learning Implicit and Explicit Control in Model Transformations by Example
  41. Altmetric Badge
    Chapter 40 IncQuery-D: A Distributed Incremental Model Query Framework in the Cloud
  42. Altmetric Badge
    Chapter 41 Translating OCL to Graph Patterns
Attention for Chapter 26: Model Driven Grant Proposal Engineering
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Chapter title
Model Driven Grant Proposal Engineering
Chapter number 26
Book title
Model-Driven Engineering Languages and Systems
Published in
Lecture notes in computer science, September 2014
DOI 10.1007/978-3-319-11653-2_26
Book ISBNs
978-3-31-911652-5, 978-3-31-911653-2
Authors

Dimitrios S. Kolovos, Nicholas Matragkas, James R. Williams, Richard F. Paige

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 1 6%
Unknown 17 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 39%
Student > Master 3 17%
Student > Doctoral Student 2 11%
Other 1 6%
Professor 1 6%
Other 3 17%
Unknown 1 6%
Readers by discipline Count As %
Computer Science 14 78%
Linguistics 1 6%
Psychology 1 6%
Engineering 1 6%
Unknown 1 6%
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 28 June 2017.
All research outputs
#17,096,507
of 25,119,447 outputs
Outputs from Lecture notes in computer science
#4,737
of 8,154 outputs
Outputs of similar age
#153,734
of 259,159 outputs
Outputs of similar age from Lecture notes in computer science
#169
of 272 outputs
Altmetric has tracked 25,119,447 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,154 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. 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 259,159 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 272 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.