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Implementation of a Feature-Based Context-Oriented Programming Language

Authors: Duhoux, Benoît; Mens, Kim; Dumas, Bruno; 11th International Workshop on Context-Oriented Programming (COP’19);

Implementation of a Feature-Based Context-Oriented Programming Language

Abstract

We implemented a feature-based context-oriented programming language, which clearly separates the notion of contexts from the notion of features. Contexts reify particular situations occurring in the surrounding environment, to which a software system can adapt. Features reify the system's behaviour; they are the language components that describe the system's functionality at a fine-grained level. Contexts are mapped to features, such that, when certain contexts become active at run-time, the corresponding features get selected and activated, thus adapting the system's functionality to those particular contexts. In this paper we show the object-oriented architecture, design and implementation issues of such a featurebased context-oriented programming language, which we implemented on top of the Ruby programming language as an application framework for context-oriented programmers. An important part of our language design is the explicit representation of contexts and features in terms of hierarchical tree structures that capture the structural constraints to be maintained at runtime. We illustrate our language design with a small example of a feature-based context-oriented program written in this language.

Country
Belgium
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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).
    5
    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).
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    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!
5
Average
Average
Average
Green