文章基本信息

标题：A Fine-Grained Algorithm for Non-parametric Software Reliability Estimation
本地全文：下载
作者：Shintaro MIZOGUCHI ; Tadashi DOHI
期刊名称：International Journal of Software Engineering and Its Applications
印刷版ISSN：1738-9984
出版年度：2011
卷号：5
期号：3
出版社：SERSC
摘要：In this article, we improve a non-parametric order statistics-based software reliability model by Barghout, Littlewood and Abdel-Ghaly (1998), from the standpoints of estimation algorithm and reliability measure. More specifically, we introduce the kernel density estimation method with a truncated Gaussian kernel function and estimate the software fault- detection time distribution with higher accuracy. Also, we use the mean value of the inter- fault detection time instead of its median, and predict the future behavior of it sequentially. In the validation test with real software fault data, it is investigated how the improvement influences the quantitative software reliability assessment.
关键词：software reliability; non-parametric estimation; kernel density estimation;cross validation; prequential likelihood method; recalibration; u-plot.