The Optimal Release Time using Software Reliability Model with a Burr Type III Fault Detection Rate Function

• 발행기관: 한국자료분석학회
• 저자명: Kwang Yoon Song In Hong Chang
• 간행물 정보: 『Journal of The Korean Data Analysis Society (JKDAS)』Vol.19 No.2, 577~586쪽, 전체 10쪽
• 주제분류: 자연과학 > 통계학
• 파일형태: PDF
• 발행일자: 2017.04.30

영문 초록

Development of software system is a difficult and complex process. Therefore, the main focus of software development is on improving the reliability and stability of a software system. We have become aware of the importance of developing software reliability models and have begun to develop software reliability models. Most people think that using more time to test is more reliable software, however, the testing cost of the software will also increase. Conversely, if the testing time is too short, the cost of the software development can be reduced, but the reliability is lowered. Therefore, it is important to determine when to stop testing and release the software. In this paper, we examine the goodness-of-fit of NHPP models based on three data sets of software testing data, and compare the optimal release times of all models.

목차

1. Introduction

2. A NHPP software reliability model and optimal release policy

3. Numerical examples

4. Conclusions

키워드

nonhomogeneous Poisson process software reliability optimal release Burr type III function