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计算机编程代码优劣评价系统的设计与研究

Design and Research of Computer Programming Code Evaluation System
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摘要 为了构建更客观的计算机编程代码评价体系,研究一种可以评价计算机编程优劣的计算机辅助分析算法技术。这种评价系统采用深度卷积模糊神经网络算法,对程序员的计算机编程优劣程度做出评价,用这种客观结果取代程序开发绩效中的主观评价法。提出的优化系统可对程序员的编程结果做出逐行评价,整体评价结果与人工评价结果基本一致。 In order to build an objective evaluation system of computer programming code,a computer-aided analysis algorithm technology which can evaluate the advantages and disadvantages of computer programming is studied.The evaluation system of this study uses the deep convolution fuzzy neural network algorithm to evaluate the advantages and disadvantages of computer programming.This objective result replaces the subjective evaluation method in program development performance.The optimization system can evaluate the programmer’s programming results line by line,and the overall evaluation results are basically consistent with the manual evaluation results.
作者 李真成 LI Zhencheng(School of Economics and Management,Tianjin Transportation Technical College,Tianjin 300110,China)
出处 《微型电脑应用》 2023年第12期123-126,共4页 Microcomputer Applications
关键词 数学算法 模糊神经网络 编程优化 客观评价 项目管理 mathematical algorithm fuzzy neural network programming optimization objective evaluation project management
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