基于主成分分析的编译错误信息分类法（英文）
Categorizing Compiler Error Messages with Principal Component Analysis Brett A.Becker;Catherine Mooney; 1:The Beijing Dublin International College 2: School of Computer Science 3: University College Dublin 4:The Physiology and Medical Physics Department 摘要(Abstract)：

成为一个有能力的程序员,对于所有计算学科的学生来说,至关重要,尤其是软件工程专业。程序员初学者面临着很多挑战,例如计算科学专业学生就业率的下滑,以及越来越多的非计算科学专业的学生开始学习程序开发。对于帮助学生识别风险、规划职业生涯的方法的研究已经进行了几十年了。大多数此类研究主要关注如何分类初学者犯的错误,以帮助他们明白这些错误如何产生,帮助他们快速地克服或回避此类错误。本文展现了如何借助主成分分析方法对编译错误进行分类。我们根据学生在编程过程中产生的数据,提取相关错误的分类信息,以识别学生们的纠结之处,并给他们提供指导建议。

关键词(KeyWords)： 编译错误;;编译错误信息;;程序员初学者;;CS1;;错误信息分类;;Java编程;;主成分分析

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作者(Author): Brett A.Becker;Catherine Mooney;

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