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作 者:李鸿鸽[1] LI Hongge(Qinghai Institute of Health Sciences,Xining Qinghai 810000,China)
出 处:《信息与电脑》2022年第4期16-18,共3页Information & Computer
摘 要:传统计算机软件开发安全检测方法的数据处理能力较差,导致软件检测结果的准确率较低,已无法满足实际需求。基于此,笔者提出基于层次分析法的计算机软件开发安全检测方法。首先,使用回调函数对编程语言进行赋值,使用大数据技术提取此部分编程语言的特征,并对其进行分类,确定计算机软件异常特征;其次,使用层次分析法对模型计算结果进行评估与等级划分,得到安全检测结果;最后,进行对比分析。实验结果表明,此方法的软件检测结果准确率高于其他方法,可将其应用在实际问题中。The data processing ability of traditional computer software development security detection methods is poor,resulting in the low accuracy of software detection results,which can not meet the actual needs.Based on this,the author introduces the security detection method of computer software development based on analytic hierarchy process.Firstly,the callback function is used to assign the value to the programming language,and the big data technology is used to extract the characteristics of this part of the programming language,classify it,and determine the abnormal characteristics of computer software;Secondly,the analytic hierarchy process is used to evaluate and grade the calculation results of the model,and the safety detection results are obtained;Finally,a comparative analysis is carried out.The experimental results show that the software detection accuracy of this method is higher than that of other methods,and it can be applied to practical problems.
分 类 号:TP311.52[自动化与计算机技术—计算机软件与理论]
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