自动评分和反馈使用程序修复入门程序设计课程

Sagar Parihar, Ziyaan Dadachanji, P. Singh, Rajdeep Das, Amey Karkare, Arnab Bhattacharya
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引用次数: 66

摘要

我们提出了GradeIT,一个结合了自动评分和程序修复的双重目标的系统,用于编程入门课程(CS1)。语法错误对基于测试用例的评分构成了重大挑战,因为很难区分一个几乎正确但有一些小语法错误的提交和另一个完全错误的提交。GradeIT还使用程序修复来帮助对未编译的提交进行评分。这允许在包含轻微语法错误的提交上运行测试用例,从而为这些提交授予部分分数(如果没有修复,这些提交不会成功编译,因此不会通过任何测试用例)。我们对15613份提交的材料进行的实验表明,GradeIT的结果与助教(助教)的人工评分相当,并且不会受到多个助教对同一份作业进行评分时发生的意外变化的影响。由GradeIT执行的修复使56%的有编译错误的提交能够成功编译,并导致11%的这些提交的分数得到改善。
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Automatic Grading and Feedback using Program Repair for Introductory Programming Courses
We present GradeIT, a system that combines the dual objectives of automated grading and program repairing for introductory programming courses (CS1). Syntax errors pose a significant challenge for testcase-based grading as it is difficult to differentiate between a submission that is almost correct and has some minor syntax errors and another submission that is completely off-the-mark. GradeIT also uses program repair to help in grading submissions that do not compile. This enables running testcases on submissions containing minor syntax errors, thereby awarding partial marks for these submissions (which, without repair, do not compile successfully and, hence, do not pass any testcase). Our experiments on 15613 submissions show that GradeIT results are comparable to manual grading by teaching assistants (TAs), and do not suffer from unintentional variability that happens when multiple TAs grade the same assignment. The repairs performed by GradeIT enabled successful compilation of 56% of the submissions having compilation errors, and resulted in an improvement in marks for 11% of these submissions.
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