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大数据分析技术在计算机软件工程中的应用

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本研究旨在探索大数据分析技术在计算机软件工程中的具体应用,从而为软件开发和管理提供新的思路和方法.首先,详细分析了计算机软件工程常见问题.其次,分析了计算机软件工程大数据分析技术,包括大数据分析技术流程和面向大数据分析技术的机器学习方法.然后,提出了基于Apriori算法的计算机软件工程数据关联方法.最后,基于训练结果,优化软件开发中的各个环节,从而提高开发效率和降低错误率.结果表明,大数据分析技术在软件测试环节,通过运用机器学习算法对以往缺陷数据进行分析,可以快速识别潜在的缺陷点,大幅缩短了测试周期.
Application of Big Data Analysis Technology in Computer Software Engineering
This study aims to explore the specific application of big data analysis technology in computer software engineering,so as to provide new ideas and methods for software development and management.First,the common problems of computer software engineering are analyzed in detail.Secondly,the computer software engineering big data analysis technology is analyzed,including the big data analysis technology process and the machine learning method for big data analysis technology.Then,the computer software engineering data association method based on Apriori algorithm is proposed.Finally,based on the training results,various aspects in software development are optimized so as to improve the development efficiency and reduce the error rate.The results show that big data analysis technology can quickly identify potential defective points and significantly shorten the testing cycle in software testing by using machine learning algorithms to analyze previous defective data.

big data analysis techniquescomputerssoftware engineeringApriori algorithmmachine learning

杨鑫

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长春师范大学,长春 130123

大数据分析技术 计算机 软件工程 Apriori算法 机器学习

2024

数码设计

数码设计

ISSN:1672-9129
年,卷(期):2024.(12)