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On Validation of Simulation Models in Timing Analysis of Complex Real-Time Embedded Systems

Fulltext:


Authors:

Yue Lu, Johan Kraft, Thomas Nolte, Christer Norström

Research group:

Complex Real-Time Embedded Systems

Publication Type:

Conference/Workshop Paper

Venue:

The 15th IEEE International Conference on Emerging Technologies and Factory Automation (EFTA10), Work-In-Progress (WIP) session.

Publisher:

IEEE

Abstract

In this paper, we present work toward validating simulation models extracted from complex real-time embedded systems, from the perspective of response time and execution time of adhering tasks, by using the non-parametric two-sample Kolmogorov-Smirnov test. Moreover, we introduce a method of reducing the number of samples used in the analysis, while keeping the accuracy of results. The evaluation using a fictive but representative system model inspired by a real robotic control system with a set of change scenarios, shows a promising result: the proposed algorithm has the potential of assessing whether the extracted simulation model is a sufficiently accurate approximation of the target system.

Bibtex

@inproceedings{Lu966,
author = {Yue Lu and Johan Kraft and Thomas Nolte and Christer Norstr{\"o}m},
title = {On Validation of Simulation Models in Timing Analysis of Complex Real-Time Embedded Systems},
pages = {56--59},
month = {September},
year = {2010},
booktitle = {The 15th IEEE International Conference on Emerging Technologies and Factory Automation (EFTA10), Work-In-Progress (WIP) session.},
publisher = {IEEE},
url = {http://www.es.mdu.se/publications/966-}
}