Paper
18 November 2024 Design method of FMEA-based operating system robust testing case design method
Chenghao Yang, Xiaoguo Yue, Zhi Wang, Yuan Fang, Can Cui, Xinjie Zhu
Author Affiliations +
Proceedings Volume 13403, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2024) ; 134032C (2024) https://doi.org/10.1117/12.3051343
Event: International Conference on Algorithms, High Performance Computing, and Artificial Intelligence, 2024, Zhengzhou, China
Abstract
Aiming at the problems of frequent occurrence of domestic operating system robustness problems, insufficient test coverage and low defect detection rate at this stage, we carry out the research on operating system robustness testing and propose a method of constructing operating system robustness test cases based on FMEA (Failure Mode and Effect Analysis) technology, which applies the FMEA technology to software robustness testing. In this paper, we design FMEA analysis guidelines using the requirements of relevant standards in the testing field, and guide testers to analyze the potential failure modes in the relevant documents of the operating system according to the guidelines, and carry out the failure mode and impact analysis to further construct the set of robustness test cases. Finally, through experimental verification, this method gives full play to the advantages of FMEA in the field of robustness testing, and the number of defects found has been greatly improved, which effectively improves the quality of the robustness test cases and further improves the robustness of the domestic operating system, and it has strong engineering application value.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Chenghao Yang, Xiaoguo Yue, Zhi Wang, Yuan Fang, Can Cui, and Xinjie Zhu "Design method of FMEA-based operating system robust testing case design method", Proc. SPIE 13403, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2024) , 134032C (18 November 2024); https://doi.org/10.1117/12.3051343
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KEYWORDS
Operating systems

Failure analysis

Design

Error analysis

Analytical research

Databases

Software development

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