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Orchestrating masses of sensors: a design-driven development Approach

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 26 Oct 2015 France, United Kingdom Publisher:ACMJournal:Proceedings of the 2015 ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences
Authors: Kabáč, Milan; Consel, Charles;

doi: 10.1145/2814204.2814226 , 10.1145/2936314.2814226 , 10.13140/rg.2.2.13913.36965

handle: 10044/1/52523

Orchestrating masses of sensors: a design-driven development Approach

Abstract

This paper proposes a design-driven development approach that is dedicated to the domain of orchestration of masses of sensors. The developer declares what an application does using a domain-specific language (DSL). Our compiler processes domain-specific declarations to generate a customized programming framework that guides and supports the programming phase.

Countries
France, United Kingdom
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Keywords

Technology, Science & Technology, Sensors, [INFO.INFO-SE] Computer Science [cs]/Software Engineering [cs.SE], Software Engineering, programming frameworks, Computer Science, Software Engineering, sensors, Generative programming, Programming frameworks, domain-specific languages, [INFO.INFO-CL] Computer Science [cs]/Computation and Language [cs.CL], pervasive computing, DISCOVERY, Computer Science, Pervasive computing, Domain-specific languages

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    selected citations
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    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).
    		 4
    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.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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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!
4
Average
Average
Average
Green
bronze
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