A Semi-parametric NHPP-based Software Reliability Modeling with Local Polynomial Debug Rate

IF 0.9 Q3 STATISTICS & PROBABILITY
Siqiao Li, T. Dohi, H. Okamura
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引用次数: 0

Abstract

In this paper, we propose a new non-homogeneous Poisson process (NHPP) based software reliability model (SRM), where the software debug rate is given by a local polynomial function. The main feature of this semi-parametric SRM is to control the goodness-of-fit by changing the polynomial degree. Numerical examples with 16 actual software development project data are devoted to comparing our SRM with the well-known existing NHPP-based SRMs in terms of goodness-of-fit and predictive performances.
基于局部多项式调试率的半参数nhpp软件可靠性建模
本文提出了一种新的基于非齐次泊松过程(NHPP)的软件可靠性模型(SRM),其中软件调试率由一个局部多项式函数给出。这种半参数SRM的主要特点是通过改变多项式度来控制拟合优度。通过16个实际软件开发项目数据的数值示例,将我们的SRM与现有的基于nhpp的SRM在拟合优度和预测性能方面进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.60
自引率
12.50%
发文量
24
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