Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering

Design and simulation of a software robustness testing model

Authors
Xiang-gang Wang
Corresponding Author
Xiang-gang Wang
Available Online April 2015.
DOI
https://doi.org/10.2991/amcce-15.2015.212How to use a DOI?
Keywords
software robustness; multiple probability analysis; probabilistic robustness analysis;
Abstract
The software robustness is affected by many factors, in order to improve the detection accuracy of software robustness, multiple probability analysis of computer control system is introduced, and a software robustness detection model based on probability robustness analysis is put forward. The computer control system of multiple probability analysis is utilized to detect the overall trend of software robustness, and achieve accurate detection of software robustness. The simulation results show that, compared to the traditional detection method, the software robustness detection model based on probability robustness analysis improves the detection accuracy of software robustness, provides some scientific, constructive suggestions for the work of software development, and improves the quality of software.
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Proceedings
2015 International Conference on Automation, Mechanical Control and Computational Engineering
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2015
ISBN
978-94-62520-64-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/amcce-15.2015.212How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xiang-gang Wang
PY  - 2015/04
DA  - 2015/04
TI  - Design and simulation of a software robustness testing model
BT  - 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.212
DO  - https://doi.org/10.2991/amcce-15.2015.212
ID  - Wang2015/04
ER  -