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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao HAL Lumiere Lyon 2arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Conference object . 2017
https://doi.org/10.1109/icac.2...
Article . 2017 . Peer-reviewed
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Conference object
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Soft-Goal Approximation Context Awareness of Goal-Driven Self-Adaptive Systems

Authors: Vialon, Aurelien; Tei, Kenji; Aknine, Samir;

Soft-Goal Approximation Context Awareness of Goal-Driven Self-Adaptive Systems

Abstract

In goal-driven self-adaptive systems, a goal model is used as a requirement model and is held by the system even at runtime. At this moment, the self-adaptive system, which can change its behaviour at runtime, will be able to reason over the variability within the goal model. It will then be able to find the best behaviour to deal with environment evolutions. However, the uncertain nature of the requirements engineering concepts in a real dynamic world is not always rightfully defined. In particular, quality requirements runtime changes are almost never considered in the literacy. Specifically, a problem we highlight here is the lack of context consideration in quality constraint approximation. Our purpose is to clearly define this problem and to propose a first solution. In this paper, we introduce a flexible version of the quality constraints. This new kind of quality constraints can be rewritten at runtime to tackle the context change induced by the environment change. To stick the constraint definition to the context change, we developed a new algorithm which modifies the specification of the quality constraints at runtime.

Country
France
Keywords

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]

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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
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