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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.
[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
[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
| 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). | 15 | |
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse 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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