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

页码：387 / 389

页数：3

共 33 条

[1]

Agrawal M, 2016, PROCEEDINGS ON 2016 2ND INTERNATIONAL CONFERENCE ON NEXT GENERATION COMPUTING TECHNOLOGIES (NGCT), P236, DOI 10.1109/NGCT.2016.7877421

[2] Plagiarism in Programming Assessments: A Systematic Review [J].

Albluwi, Ibrahim .

ACM TRANSACTIONS ON COMPUTING EDUCATION, 2020, 20 (01)

[3]

Ali AME, 2011, CEUR WORKSHOP PROCEE, V706, P161

[4]

Aniceto R.C., 2021, 2021 IEEE FIE, P1

[5]

[Anonymous], CRC GRANTS 2021

[6]

Arwin C., 2006, Proceedings of the 29th Australasian Computer Science Conference, P277

[7]

Bin-Habtoor A., 2012, INT J COMPUTER THEOR, V4, P185, DOI DOI 10.7763/IJCTE.2012.V4.447

[8]

Cheers H, 2019, INT CONF SOFTW ENG, P617, DOI [10.1109/icsess47205.2019.9040853, 10.1109/ICSESS47205.2019.9040853]

[9] Evaluating the robustness of source code plagiarism detection tools to pervasive plagiarism-hiding modifications [J].

Cheers, Hayden ;

Lin, Yuqing ;

Smith, Shamus P. .

EMPIRICAL SOFTWARE ENGINEERING, 2021, 26 (05)

[10] Academic Source Code Plagiarism Detection by Measuring Program Behavioral Similarity [J].

Cheers, Hayden ;

Lin, Yuqing ;

Smith, Shamus P. .

IEEE ACCESS, 2021, 9 :50391-50412

← 1 2 3 4 →