摘要
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。
Being a competent programmer is critical for students in all computing disciplines and software engineering in particular. Novice programming students face a number of challenges and these have been shown to contribute to worrying dropout rates for students majoring in computing, and the growing number of non-majors who are learning to program. Methods of identifying and helping at-risk programming students have been researched for decades. Much of this research focuses on categorizing the errors that novice programmers make, in order to help understand why these errors are made, with the goal of helping them overcome these errors quickly, or avoid them altogether. This paper presents the first known work on categorizing compiler errors using principal component analysis. In this, we find a new way of discovering categories of related errors from data produced by the students in the course of their programming activity. This method may be used to identify where these students are struggling and provide direction in efforts to help them.
出处
《计算机教育》
2016年第8期37-44,共8页
Computer Education
关键词
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
compiler errors
compiler error messages
novice programmers
CS1
error message categorizationJava programming
principal component analysis
