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Probabilistic Analysis and Predictions of Component-Based Real-Time Systems
Publication Type:
Conference/Workshop Paper
Venue:
17th Euromicro Conference on Real-Time Systems
Abstract
Software components are suitable vehicles to introduce
advanced analysis techniques in a software-engineering
context for embedded control software; a feat that has yet
to be fully accomplished.
We are adopting a component-based approach to control
software development. We are extending and combining
methods from disparate disciplines, such as probabilistic reliability
predictions, stochastic scheduling analysis and software
component technologies. We study theories and methods
for probabilistic modelling, analysis, and prediction of
control software executing in resource-constrained embedded
computers.
Combining the behaviour models and the architectural
model of a component assembly we are deriving stochastic
properties, such as reliability, expected delays, and resource
consumption. Using components as the fundamental unit of
reuse, we employ run-time monitoring techniques to extract
probabilistic models of the component behaviour.
Bibtex
@inproceedings{Moller762,
author = {Anders M{\"o}ller and Mikael Sj{\"o}din and Ian Peake and Heinz Schmidt},
title = {Probabilistic Analysis and Predictions of Component-Based Real-Time Systems},
month = {July},
year = {2005},
booktitle = {WiP Session of the 17th Euromicro Conference on Real-Time Systems},
publisher = {IEEE},
url = {http://www.es.mdu.se/publications/762-}
}