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A Statistical Approach to Simulation Model Validation in Timing Analysis of Complex Real-Time Embedded Systems
Mälardalen University, School of Innovation, Design and Engineering.ORCID iD: 0000-0002-7366-7186
Mälardalen University, School of Innovation, Design and Engineering.ORCID iD: 0000-0001-6132-7945
Mälardalen University, School of Innovation, Design and Engineering.
Mälardalen University, School of Innovation, Design and Engineering.ORCID iD: 0000-0003-2855-9220
2010 (English)In: Proceedings - 16th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2010, Brussels, 2010, p. -160, article id 5591317Conference paper, Published paper (Refereed)
Abstract [en]

Simulation-based analysis methods make few restrictions on the system design and scale to very large and complex systems, therefore they are widely used in timing analysis of complex industrial embedded systems. This paper presents a statistical approach to validation of temporal simulation models extracted from complex embedded systems, by introducing existing mature statistical methods to the context. The proposed approach firstly collects sampling distributions of response time and execution time data of tasks in both the modeled system and the model, based on simple random samples (SRS). The second step of the approach is to compare the sampling distributions, regarding interesting timing properties, by using the non-parametric two-sample Kolmogorov-Smirnov test. The evaluation using a fictive system model inspired by a real robotic control system with a set of change scenarios, shows a promising result. The proposed algorithm can identify temporal differences between the target system and its extracted model, i.e., the algorithm can assess whether the extracted model is a sufficiently accurate approximation of the target system.

Place, publisher, year, edition, pages
Brussels, 2010. p. -160, article id 5591317
Identifiers
URN: urn:nbn:se:mdh:diva-11070Scopus ID: 2-s2.0-78449277276OAI: oai:DiVA.org:mdh-11070DiVA, id: diva2:369799
Conference
16th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2010; Macau; China; 23 August 2010 through 25 August 2010; Category numberP4155; Code 82350
Available from: 2010-11-12 Created: 2010-11-12 Last updated: 2019-01-29Bibliographically approved

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Lu, YueNolte, ThomasNorström, Christer

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • en-US
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