TY - GEN
T1 - Performance Analysis of Fault Detection Rate in SRGM
AU - Sun, Zhichao
AU - Zhang, Ce
AU - Wen, Yafei
AU - Fan, Miaomiao
AU - Liu, Kaiwei
AU - Li, Wenyu
N1 - Publisher Copyright:
© 2022, The Author(s).
PY - 2022
Y1 - 2022
N2 - The fault detection rate is one of the main parameters of the software reliability model. Different forms of fault detection rates have different functions. This paper focuses on the influence of fault detection rate on software reliability, proposes a single reliability model multi-failure data set multi-fault detection rate analysis plan, and analyses the impact of fault detection rate on SRGM. After experimental analysis, the performance of the software reliability model corresponding to the power function and the S-type fault detection rate is better, the performance of the software reliability model corresponding to the constant fault detection rate is acceptable, and the comprehensive performance of the software reliability model corresponding to the exponential fault detection rate is poor. The research in this paper has a certain guiding role in the selection of parameter models in software reliability modelling and the determination of the optimal release time.
AB - The fault detection rate is one of the main parameters of the software reliability model. Different forms of fault detection rates have different functions. This paper focuses on the influence of fault detection rate on software reliability, proposes a single reliability model multi-failure data set multi-fault detection rate analysis plan, and analyses the impact of fault detection rate on SRGM. After experimental analysis, the performance of the software reliability model corresponding to the power function and the S-type fault detection rate is better, the performance of the software reliability model corresponding to the constant fault detection rate is acceptable, and the comprehensive performance of the software reliability model corresponding to the exponential fault detection rate is poor. The research in this paper has a certain guiding role in the selection of parameter models in software reliability modelling and the determination of the optimal release time.
KW - Empirical analysis
KW - Failure detection rate
KW - Reliability modeling
KW - Software reliability growth model
UR - https://www.scopus.com/pages/publications/85135085815
U2 - 10.1007/978-981-19-2456-9_106
DO - 10.1007/978-981-19-2456-9_106
M3 - 会议稿件
AN - SCOPUS:85135085815
SN - 9789811924552
T3 - Lecture Notes in Electrical Engineering
SP - 1059
EP - 1066
BT - Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications, WCNA 2021
A2 - Qian, Zhihong
A2 - Jabbar, M.A.
A2 - Li, Xiaolong
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Conference on Wireless Communications, Networking and Applications, WCNA 2021
Y2 - 17 December 2021 through 19 December 2021
ER -