基于光滑样条回归的软件可靠性模型
Software Reliability Model Based on Smooth Splines Regression
DOI: 10.12677/MOS.2023.126469, PDF,    国家自然科学基金支持
作者: 仇正霞, 黄嘉悦：贵州大学，数学与统计学院，贵州 贵阳；杨剑锋*：贵州大学，数学与统计学院，贵州 贵阳；贵州理工学院，大数据学院，贵州 贵阳；胡文生：贵州交通职业技术学院，信息工程系，贵州 贵阳
关键词: 光滑样条回归；软件可靠性模型；开源软件；失效数据；Smooth Spline Regression； Software Reliability Model； Open-Source Software； Failure Data
摘要: 随着软件产品在各行各业的广泛使用，其高可靠、高安全成为衡量一个软件质量的重要属性。本文引入了一种基于光滑样条回归的软件可靠性模型，并将其与传统的软件可靠性模型进行比较。此外，使用了最小二乘估计方法来估计模型中的参数。最后，基于开源软件Tomcat3-11服务器的真实失效数据，利用R软件对这4类可靠性模型进行性能对比分析，结果表明光滑样条回归模型的拟合与预测效果较好。
Abstract: With the widespread use of software products in various industries, their high reliability and secu-rity have become important attributes for assessing software quality. This paper introduces a soft-ware reliability model based on smooth spline regression and compares it with traditional software reliability models. In addition, the least squares estimation method is used to estimate the param-eters in the model. Finally, real failure data from the open-source Tomcat 3-11 server is used to perform a performance comparison analysis of these four types of reliability models using the R software. The results show that the smooth spline regression model provides better fitting and pre-dictive performance.
文章引用：仇正霞, 杨剑锋, 胡文生, 黄嘉悦. 基于光滑样条回归的软件可靠性模型[J]. 建模与仿真, 2023, 12(6): 5156-5164. https://doi.org/10.12677/MOS.2023.126469

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