基于多项式回归模型的软件可靠性预测方法研究  

Research of the Prediction Technique of Software Reliability Based on Polynomial Regression Model

作　　者：陈静 李华 Chen Jing;Li Hua(College of Information Engineering,Guizhou University of Traditional Chinese Medicine,Guiyang 550025,China;School of Big Data and Computer Science,Guizhou Normal University,Guiyang 550025,China)

机构地区：[1]贵州中医药大学信息工程学院,贵阳550025 [2]贵州师范大学大数据与计算机科学学院,贵阳550025

出　　处：《黑龙江科学》2021年第18期29-31,共3页Heilongjiang Science

基　　金：贵州省科技厅基金项目(黔科合LH字[2016]7108号)。

摘　　要：为了合理地对软件故障进行分析和研究,不断提高软件的可靠性,采用多项式回归模型进行故障分析,使用“成绩分析大师APP”的真实故障数据,利用SPSS软件对可靠性模型进行验证分析。实验结果表明,利用多项式回归方法建立的故障数据的变化函数模型是有效的,可将其用于软件的可靠性分析预测。In order to rationally analyze and research the software failures,and continuously improve the reliability of the software,the research does the failure analysis with polynomial regression model,uses the real failure data of“result analysis master APP”,and does check analysis of reliability model with SPSS software.The experiment results show that change function model of failure data with polynomial regression model is effective.So it can be used to do reliable analysis prediction.

关 键 词：多项式回归模型 软件可靠性 最小二乘估计 SPSS 

分 类 号：C8[社会学—统计学]