Artificial table testing dynamically adaptive systems - INRIA - Institut National de Recherche en Informatique et en Automatique Accéder directement au contenu
Rapport (Rapport De Recherche) Année : 2009

Artificial table testing dynamically adaptive systems

Résumé

Dynamically Adaptive Systems (DAS) are systems that modify their behavior and structure in response to changes in their surrounding environment. Critical mission systems increasingly incorporate adaptation and response to the environment; examples include disaster relief and space exploration systems. These systems can be decomposed in two parts: the adaptation policy that specifies how the system must react according to the environmental changes and the set of possible variants to reconfigure the system. A major challenge for testing these systems is the combinatorial explosions of variants and envi-ronment conditions to which the system must react. In this paper we focus on testing the adaption policy and propose a strategy for the selection of envi-ronmental variations that can reveal faults in the policy. Artificial Shaking Table Testing (ASTT) is a strategy inspired by shaking table testing (STT), a technique widely used in civil engineering to evaluate building's structural re-sistance to seismic events. ASTT makes use of artificial earthquakes that simu-late violent changes in the environmental conditions and stresses the system adaptation capability. We model the generation of artificial earthquakes as a search problem in which the goal is to optimize different types of envi-ronmental variations.
Fichier principal
Vignette du fichier
rrrt-model-rennes.pdf (811.78 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

inria-00365874 , version 1 (04-03-2009)

Identifiants

  • HAL Id : inria-00365874 , version 1
  • ARXIV : 0903.0914

Citer

Freddy Munoz, Benoit Baudry. Artificial table testing dynamically adaptive systems. [Research Report] RR-6866, INRIA. 2009, pp.29. ⟨inria-00365874⟩
139 Consultations
97 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More