Prediction of a software reliability model considering the finiteness of software faults†
Kwang Yoon Song1 · In Hong Chang2
12Department of Computer Science and Statistics, Chosun University
Correspondence to: † This study was supported by research funds from Chosun University, 2023.
1 Assistant professor, Department of Computer Science and Statistics, Chosun University, Gwangju 61452, Korea.
2 Professor, Department of Computer Science and Statistics, Chosun University, Gwangju 61452, Korea. E-mail: ihchang@chosun.ac.kr
1 Assistant professor, Department of Computer Science and Statistics, Chosun University, Gwangju 61452, Korea.
2 Professor, Department of Computer Science and Statistics, Chosun University, Gwangju 61452, Korea. E-mail: ihchang@chosun.ac.kr
Received August 14, 2024; Revised August 28, 2024; Accepted August 29, 2024.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
- Abstract
- Software is changing into a practical meaning that encompasses a wide range of areas along with the fourth industrial revolution, and since it is used in various industries, software reliability is a very important issue, and the importance of software reliability cannot be overemphasized. It is used to predict software faults and reliability using a software reliability model. The finiteness of software faults, which first grow rapidly and then occur slowly until the maximum number of faults is reached, and the fault detection rate function of the Weibull distribution, which allows flexible estimation of whether the probability of failure increases, decreases, or appears constant over time. were taken into consideration. In this paper, we present a new software reliability model with considering the finiteness of software faults, and examine the goodness-of-fit of the proposed model and other models based on two datasets. The results show that the proposed new model fits significantly better than other models.
- Keywords : Fault detection rate, non-homogeneous Poisson process, software reliability, Weibull distribution
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