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Procedia Computer Science
Article . 2015 . Peer-reviewed
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Procedia Computer Science
Article . 2015
License: CC BY NC ND
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MDE in Practice for Computational Science

Authors: Bruel, Jean-Michel; Combemale, Benoit; Ober, Ileana; Raynal, Hélène;

MDE in Practice for Computational Science

Abstract

AbstractThe complex problems that computational science addresses are more and more benefiting from the progress of computing facilities (simulators, librairies, accessible languages,. .). Nevertheless, the actual solutions call for several improvements. Among those, we address in this paper the needs for leveraging on knowledge and expertise by focusing on Domain-Specific Modeling Languages application. In this vision paper we illustrate, through concrete experiments, how the last DSML research help getting closer the problem and implementation spaces.

Country
France
Keywords

[INFO.INFO-SE] Computer Science [cs]/Software Engineering [cs.SE], Software Engineering, Model-Driven Engineering, Scientific Computing, Modélisation et simulation, Systèmes embarqués, Interface homme-machine, Domain-Specific Modeling Languages, Architectures Matérielles, Domain-Specific Modeling Languages;Scientific Computing;Model-Driven Engineering, Cryptographie et sécurité, Génie logiciel, Model-driven engineering, Domain-specific modeling languages, Scientific computing

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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
15
Top 10%
Top 10%
Top 10%
12
15
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gold