Computer and Knowledge Engineering, Volume (2), No (1), Year (2019-9) , Pages (43-52)

Title : ( A State-aware Approach for Robustness Testing of Embedded Real-Time Operating Systems )

Authors: Raheleh Shahpasand , Samad Paydar , Yasser Sedaghat , Reza Ramezani ,

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Abstract

The Operating System (OS) is a major part of embedded software systems and its robustness has considerable influence on the robustness of the entire system. Thus, its robustness testing is critical for assessing the dependability of the system. In this paper, a state-aware approach is proposed to evaluate the robustness of components of embedded real-time OSs in the presence of different types of faulty inputs. This approach leads to identifying critical OS states, their criticality level, and the maximum and minimum level of the OS robustness. It also facilitates comparing the robustness level of OS’s components and helps the system developers to select the most appropriate fault tolerance techniques by considering the robustness level and timing limitations. The experimental results demonstrate the ability of the proposed approach in providing more information about the robustness vulnerabilities in the states of the system.

Keywords

, Robustness testing, Embedded operating system, Robustness level assessment, Safety-critical systems, Fault injection
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@article{paperid:1075987,
author = {Shahpasand, Raheleh and Paydar, Samad and Sedaghat, Yasser and Reza Ramezani},
title = {A State-aware Approach for Robustness Testing of Embedded Real-Time Operating Systems},
journal = {Computer and Knowledge Engineering},
year = {2019},
volume = {2},
number = {1},
month = {September},
issn = {5238-5453},
pages = {43--52},
numpages = {9},
keywords = {Robustness testing; Embedded operating system; Robustness level assessment; Safety-critical systems; Fault injection},
}

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%0 Journal Article
%T A State-aware Approach for Robustness Testing of Embedded Real-Time Operating Systems
%A Shahpasand, Raheleh
%A Paydar, Samad
%A Sedaghat, Yasser
%A Reza Ramezani
%J Computer and Knowledge Engineering
%@ 5238-5453
%D 2019

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