Modeling Context and Dynamic Adaptations with Feature Models - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2009

Modeling Context and Dynamic Adaptations with Feature Models

Abstract

Self-adaptive and dynamic systems adapt their behavior according to the context of execution. The contextual information exhibits multiple variability factors which induce many possible configurations of the software system at runtime. The challenge is to specify the adaptation rules that can link the dynamic variability of the context with the possible variants of the system. Our work investigates the systematic use of feature models for modeling the context and the software variants, together with their inter relations, as a way to configure the adaptive system with respect to a particular context. A case study in the domain of video surveillance systems is used to illustrate the approach.
Fichier principal
Vignette du fichier
MRT09-CR.pdf (569.86 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

hal-00419990 , version 1 (18-05-2010)

Identifiers

  • HAL Id : hal-00419990 , version 1

Cite

Mathieu Acher, Philippe Collet, Franck Fleurey, Philippe Lahire, Sabine Moisan, et al.. Modeling Context and Dynamic Adaptations with Feature Models. 4th International Workshop Models@run.time at Models 2009 (MRT'09), Oct 2009, United States. pp.10. ⟨hal-00419990⟩
617 View
496 Download

Share

Gmail Mastodon Facebook X LinkedIn More