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面向计算机软件工程的机器学习技术 被引量:1

Machine Learning Technology for Computer Software Engineering
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摘要 在计算机技术不断发展的背景下,机器学习技术在软件工程领域应用得越来越广泛,其可以帮助软件开发人员更快、更高效地开发软件,提升软件质量及运行的稳定性,增强软件的适应性。近年来,机器学习技术水平不断提升,促进了软件工程领域的变革,在应用机器学习技术的过程中,可以通过数据学习的方式进行优化,制定最优模型,并结合机器学习帮助工作人员更有效地解决问题,提升软件运行效果。但在实际应用过程中,需结合模型建立及技术运行常见问题进行分析。基于此,文中通过对比分析,对面向计算机软件工程的机器学习技术进行了论述,并提出了计算机软件工程机器学习的改进措施,以机器学习中双层规划模型与计算应用为基础,充分展现了机器学习技术的应用优势。 In the context of continuous development of computer technology,machine learning technology is being applied more and more widely in the field of software engineering.It can help software developers develop software faster and more eficiently,improve software quality and stability,and enhance software adaptability.In recent years,the level of machine learning technology has been continuously improving,promoting changes in the field of software engineering.In the process of applying machine learning technology,data learning can be used to optimize,formulate optimal models,and combine machine learning to help workers solve problems more effectively and improve software performance.However,in practical application,it is necessary to analyze common problems in model establishment and technical operation.Based on this,this paper discusses the machine lerning technology for computer software engineering through comparative analysis,and proposes improvement measures for machine learning in computer software engineering.Based on the doublelayer programming model and computational applications in machine learning,it fully demonstrates the application advantages of machine learning technology.
作者 李妍 LI Yan(Patent Examination Cooperation Guangdong Center of The Patent Office,CNIPA,Guangzhou 510555,China)
出处 《移动信息》 2024年第1期229-231,共3页 MOBILE INFORMATION
关键词 计算机软件工程 机器学习技术 开发 适应性 Computer software engineering Machine learning technology Develop Adaptability
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