Title
A Statistical Approach for Timed Reachability in AADL Models
Abstract
We introduce a simulator (slimsim) for a subset of AADL extended with formalized behavioral semantics for nominal and error models. The simulator allows to perform probabilistic analysis using the Monte Carlo method, on linear-hybrid, stochastic models, which describe a combination of nominal and error behaviors of hard- and software components. The tool supports the use of different strategies, which control the behavior of the simulator when dealing with various forms of non-determinism. The simulator is tested using benchmarks of the COMPASS toolset, as well as a case study by Airbus Defense and Space.
Year
DOI
Venue
2015
10.1109/DSN.2015.32
The International Conference on Dependable Systems and Networks
Keywords
Field
DocType
Monte Carlo methods,reachability analysis,software engineering,statistical analysis,AADL model,COMPASS toolset,Monte Carlo method,error model,formalized behavioral semantics,linear-hybrid model,nominal model,slimsim,software components,statistical approach,stochastic model,timed reachability
Data modeling,Synchronization,Monte Carlo method,Compass,Computer science,Real-time computing,Probabilistic analysis of algorithms,Reachability,Stochastic modelling,Component-based software engineering,Distributed computing
Conference
ISSN
Citations 
PageRank 
1530-0889
2
0.37
References 
Authors
26
3
Name
Order
Citations
PageRank
Harold Bruintjes1502.58
Joost-Pieter Katoen24444289.65
David Lesens320.37