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Event-driven Adaptation in COP

descriptionPublicationkeyboard_double_arrow_right Article , Preprint , Conference object , Other literature type 17 Jun 2016Embargo end date: 01 Jan 2016 Italy English Publisher:Open Publishing AssociationJournal:Electronic Proceedings in Theoretical Computer Science, volume 211, pages 37-45 (eissn: 2075-2180, Copyright policy )
Authors: DEGANO, PIERPAOLO; FERRARI, GIAN-LUIGI; GALLETTA, LETTERIO;

doi: 10.4204/eptcs.211.4 , 10.48550/arxiv.1606.05939

arXiv: 1606.05939

handle: 11568/804333

Event-driven Adaptation in COP

Abstract

Context-Oriented Programming languages provide us with primitive constructs to adapt program behaviour depending on the evolution of their operational environment, namely the context. In previous work we proposed ML_CoDa, a context-oriented language with two-components: a declarative constituent for programming the context and a functional one for computing. This paper describes an extension of ML_CoDa to deal with adaptation to unpredictable context changes notified by asynchronous events.

In Proceedings PLACES 2016, arXiv:1606.05403

Country
Italy
Related Organizations
Keywords

FOS: Computer and information sciences, Computer Science - Programming Languages, Electronic computers. Computer science, QA1-939, QA75.5-76.95, Computer programming languages, Asynchronous event; Context oriented programming, Event-driven, Operational environments, Two-component, Mathematics, Programming Languages (cs.PL)

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    popularity
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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
2
Average
Average
Average
Green
gold