A Comparative Study on Infinite NHPP Reliability Cost Model Based on Intensity Function of Log Power Form

Kim Hee Chul; Tae-Jin Yang

With the increasing demand to deliver high-quality software, more accurate software reliability models and software cost models are required to estimate the optimal software release time and the cost of testing efforts. In this study, reliability software cost model considering intensity function based on life distribution from the process of software product testing was studied. The comparison problem of log power intensity function that is widely used in the field of reliability, reliability growth model, was presented. The software failure pattern was used infinite failure non-homogeneous Poisson process model, the parameters estimation using maximum likelihood estimation was conducted. For analysis of software cost model considering intensity function, in this research, software developers to identify software development cost some extent be able to help. In this study, software cost model, using the infinite non-homogeneous Poisson process(NHPP) failure, more software efficiently optimum delivery times can be predicted. The proposed model is the total number of defects in software release period after the operational software and software to be discovered during maintenance and the defects are not found in all software users should assume that. It's a real step error detection and error correction cost of removing all of the remaining operational steps to eliminate the error is lower than the cost increases, the operating time can be seen as costs increase. Therefore, the optimal discharge time of the software can be realistically predict beforehand.

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* 2022년 이후 발행 논문의 참고문헌은 현재 구축 중입니다.

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