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基于光滑样条回归的软件可靠性模型
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Abstract:
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。
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.
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