A Sensitivity Analysis of a New NHPP Software Reliability Model with the Generalized Exponential Fault Detection Rate Function Considering the Uncertainty of Operating Environments

• 발행기관: 한국자료분석학회
• 저자명: 송광윤(Kwang Yoon Song) 장인홍(In Hong Chang)
• 간행물 정보: 『Journal of The Korean Data Analysis Society (JKDAS)』Vol.22 No.2, 473~482쪽, 전체 10쪽
• 주제분류: 자연과학 > 통계학
• 파일형태: PDF
• 발행일자: 2020.04.30

영문 초록

Early in the development of the software reliability model, it was assumed that the operating environment of the software was used in the same or similar field environment as the test environment. However, they may also be used in many different locations that may differ from the environment in which they were developed and tested. And also, in general, software systems are known to degrade performance and increase failure rate as their service life increases. Therefore, efforts have been made to expand the exponential distribution assuming a constant failure rate. In this paper, we propose a new software reliability model with the generalized exponential (GE) fault detection rate function considering the uncertainty of operation environments based on a non-homogeneous Poisson process (NHPP). We examine the goodness-of-fit of a new NHPP software reliability model and other existing models based on dataset. As a result of comparison of goodness-of-fit, it can be confirmed that the new proposed model is significantly better by showing that all the criteria of the new proposed model are the lowest compared to other models. In addition, the results for the sensitivity analysis show that the parameters of a new NHPP software reliability model affect the mean value function.

목차

1. Introduction

2. Review of the generalized exponential distribution

3. An NHPP software reliability model

4. Numerical examples

5. Conclusions

References

키워드

fault detection rate generalized exponential distribution non-homogeneous Poisson process sensitivity analysis software reliability model.