A Logic for the Statistical Model Checking of Dynamic Software Architectures - Archive ouverte HAL Access content directly
Conference Papers Year : 2016

A Logic for the Statistical Model Checking of Dynamic Software Architectures

(1, 2) , (2, 3) , (1) , (2) , (3) , (1)
1
2
3

Abstract

Dynamic software architectures emerge when addressing important features of contemporary systems, which often operate in dynamic environments subjected to change. Such systems are designed to be reconfigured over time while maintaining important properties, e.g., availability, correctness, etc. Verifying that reconfiguration operations make the system to meet the desired properties remains a major challenge. First, the verification process itself becomes often difficult when using exhaustive formal methods (such as model checking) due to the potentially infinite state space. Second, it is necessary to express the properties to be verified using some notation able to cope with the dynamic nature of these systems. Aiming at tackling these issues, we introduce DynBLTL, a new logic tailored to express both structural and behavioral properties in dynamic software architectures. Furthermore, we propose using statistical model checking (SMC) to support an efficient analysis of these properties by evaluating the probability of meeting them through a number of simulations. In this paper, we describe the main features of DynBLTL and how it was implemented as a plug-in for PLASMA, a statistical model checker.
Fichier principal
Vignette du fichier
main.pdf (426.65 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01387429 , version 1 (25-10-2016)

Identifiers

Cite

Jean Quilbeuf, Everton Cavalcante, Louis-Marie Traonouez, Flavio Oquendo, Thais Batista, et al.. A Logic for the Statistical Model Checking of Dynamic Software Architectures. ISoLA, Oct 2016, Corfou, Greece. pp.806 - 820, ⟨10.1007/978-3-319-47166-2_56⟩. ⟨hal-01387429⟩
376 View
259 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More