Material Survey on Source Code Plagiarism Detection in Programming Courses

被引：2
|
作者：
Alexandra-Cristina, Cimpeanu [1 ]
Olteanu, Alexandru [1 ]
机构：
[1] Univ Politehn Bucuresti, Dept Comp Sci, Bucharest, Romania
来源：
2022 INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES (ICALT 2022) | 2022年
关键词：
obfuscating plagiarism; source code plagiarism detection; SCPDT; OJ System;
D O I：
10.1109/ICALT55010.2022.00119
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Plagiarism has always been a serious concern in programming courses. Most universities use online code evaluation platforms to assess students' knowledge, making source code plagiarism a real concern. With the hope of reducing this problem, many source code plagiarism detection tools are proposed each year, either based on source code analysis or the changes in student's characteristics, such as behavior, history of submissions, source IP address, etc. The purpose of this research is to offer a detailed state-of-the-art overview on source code plagiarism detection in programming courses and suggest a direction for a robust approach.
引用
收藏
页码：387 / 389
页数：3
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