Search Results - programming code plagiarism detection

Process Model Improvement for Source Code Plagiarism Detection in Student Programming Assignments

Authors: Kermek, Dragutin Novak, Matija

Source: Informatics in Education. 2016 15(1):103-126.

Peer Reviewed: Y

Page Count: 24

Descriptors: Plagiarism, Programming, Assignments, Cheating, Models, Improvement, Identification, Computer Science Education

Source Code Plagiarism Detection in Academia with Information Retrieval: Dataset and the Observation

Authors: Karnalim, Oscar Budi, Setia Toba, Hapnes et al.

Source: Informatics in Education. 2019 18(2):321-344.

Peer Reviewed: Y

Page Count: 24

Descriptors: Plagiarism, Computer Science Education, Comparative Analysis, Problem Solving, Information Retrieval, Computer Software, Introductory Courses, Programming, Student Evaluation, Higher Education, Identification, Coding

Dolos: Language-Agnostic Plagiarism Detection in Source Code

Authors: Maertens, Rien Van Petegem, Charlotte Strijbol, Niko et al.

Source: Journal of Computer Assisted Learning. Aug 2022 38(4):1046-1061.

Peer Reviewed: Y

Page Count: 16

Descriptors: Plagiarism, Benchmarking, Coding, Computer Science Education, Computer Software, Programming Languages, Comparative Analysis, Online Courses, Computer Assisted Instruction, Prevention, Identification, Computational Linguistics

Automatic Detection of Source Code Plagiarism in Programming Courses

Additional Titles: Automatisk identifiering av kodplagiat i programmeringskurser

Authors: Bergman, Adam

Index Terms: source code plagiarism, continuous integration, gitlab, jplag, moss, Computer Sciences, Datavetenskap (datalogi), Student thesis, info:eu-repo/semantics/bachelorThesis, text

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-104883

Presenting an Alternative Source Code Plagiarism Detection Framework for Improving the Teaching and Learning of Programming

Authors: Hattingh, Frederik Buitendag, Albertus A. K. van der Walt, Jacobus S.

Source: Journal of Information Technology Education: Innovations in Practice. 2013 12:45-58.

Peer Reviewed: Y

Page Count: 14

Descriptors: Plagiarism, Identification, Programming, Computer Science Education, Undergraduate Students, Feedback (Response), Formative Evaluation, Student Evaluation

Access URL: https://www.jite.org/documents/Vol12/JITEv12IIPp045-058Hattingh_FT72.pdf

Using pseudo-AI submissions for detecting AI-generated code

Authors: Shariq Bashir

Source: Frontiers in Computer Science, Vol 7 (2025)

Subject Terms: programming code plagiarism detection, programming code similarity, generative AI tools, Electronic computers. Computer science, detecting AI-generated code, QA75.5-76.95, large language models (LLMs)

Access URL: https://doaj.org/article/5eca89389855411a842764250235718c

Evaluation of similarity metrics for programming code plagiarism detection method

Authors: Juričić, Vedran Tihomir Hunjak, Sandra Lovrenčić, Igor Tomičić

Contributors: Juričić, Vedran Tihomir Hunjak, Sandra Lovrenčić, Igor Tomičić

Source: Central European Conference on Information and Intelligent Systems, 22nd International Conference. September 21st - 23rd, 2011, Varaždin, Croatia Conference Proceedings. :83-88

Subject Terms: agiarism detection, similarity, source code, similarity metric

Access URL: https://www.bib.irb.hr/620650

Plagiarism Detection in University Assignments Using Custom Programming Code. Case Study: Graphic Expression in Engineering

Authors: Adriana Conde-Fernández Beatriz Blanco-Besteiro Patricia E. Tato-Sánchez-del-Valle et al.

Source: Lecture Notes in Mechanical Engineering ISBN: 9783031728280

Identifying Plagiarised Programming Assignments with Detection Tool Consensus

Authors: Cheers, Hayden Lin, Yuqing Yan, Weigen

Source: Informatics in Education. 2023 22(1):1-19.

Peer Reviewed: Y

Page Count: 19

Descriptors: Plagiarism, Assignments, Computer Software, Computer Science Education, Identification, Programming, Scores, Case Studies, Undergraduate Students, Comparative Analysis

Plagiarism detection in verilog and textual content using linguistic features

Authors: V., Sathya C., Nalayini Kumar, M. Kiran et al.

Source: Indonesian Journal of Electrical Engineering and Computer Science; Vol 38, No 3: June 2025; 1924-1935 ; 2502-4760 ; 2502-4752 ; 10.11591/ijeecs.v38.i3

Subject Terms: Electricals, Electronics, Computer and Informatics, Linguistic characteristics, Plagiarism, Programming code theft, Verilog algorithms, WordNet lexical database

File Description: application/pdf

Relation: https://ijeecs.iaescore.com/index.php/IJEECS/article/view/39116/19268; https://ijeecs.iaescore.com/index.php/IJEECS/article/view/39116

Availability: https://ijeecs.iaescore.com/index.php/IJEECS/article/view/39116
https://doi.org/10.11591/ijeecs.v38.i3.pp1924-1935

A Support Vector Machine based approach for plagiarism detection in Python code submissions in undergraduate settings

Authors: Nandini Gandhi Kaushik Gopalan Prajish Prasad

Source: Frontiers in Computer Science, Vol 6 (2024)

Subject Terms: source code plagiarism detection, Python programming, textual similarity, Abstract Syntax Trees, Support Vector Machine, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fcomp.2024.1393723/full; https://doaj.org/toc/2624-9898

Access URL: https://doaj.org/article/76c1711e224940df90b954705cb62d11

Process Model Improvement for Source Code Plagiarism Detection in Student Programming Assignments

Authors: Dragutin KERMEK Matija NOVAK

Source: Informatics in Education, Vol 15, Iss 1, Pp 103-126 (2016)

Subject Terms: plagiarism detection, source-code, process model, programming assignments, Special aspects of education, LC8-6691

File Description: electronic resource

Relation: https://doaj.org/toc/1648-5831; https://doaj.org/toc/2335-8971

Access URL: https://doaj.org/article/adf481e327d34c81a59e8dc530dd93f2

Identifying Plagiarised Programming Assignments with Detection Tool Consensus

Authors: Hayden Cheers Yuqing Lin Weigen Yan

Source: Informatics in Education, Vol 22, Iss 1, Pp 1-19 (2023)

Subject Terms: source code plagiarism detection, behavioural similarity, source code similarity, Special aspects of education, LC8-6691

File Description: electronic resource

Relation: https://doaj.org/toc/1648-5831; https://doaj.org/toc/2335-8971

Access URL: https://doaj.org/article/c783319f4f834cd696cc856390957423

Source Code Plagiarism Detection in Academia with Information Retrieval: Dataset and the Observation

Authors: Oscar KARNALIM Setia BUDI Hapnes TOBA et al.

Source: Informatics in Education, Vol 18, Iss 2, Pp 321-344 (2019)

Subject Terms: source code plagiarism, dataset, programming, computer science education, Special aspects of education, LC8-6691

File Description: electronic resource

Relation: https://doaj.org/toc/1648-5831; https://doaj.org/toc/2335-8971

Access URL: https://doaj.org/article/d122ddbb88e14818ab784fbdbb359fc1

Classification feature sets for source code plagiarism detection in Java

Authors: Eman Hosam Mayada Hadhoud Amir Atiya et al.

Source: Journal of Engineering and Applied Science, Vol 69, Iss 1, Pp 1-18 (2022)

Subject Terms: Source code plagiarism detection, Source code reuse detection, Software similarity detection, Machine learning, Classification, Similarity matrix, Engineering (General). Civil engineering (General), TA1-2040

File Description: electronic resource

Relation: https://doaj.org/toc/1110-1903; https://doaj.org/toc/2536-9512

Access URL: https://doaj.org/article/43a20059a1b44a7398086d5aca8af55b

Source-Code Similarity Detection and Detection Tools Used in Academia: A Systematic Review

Authors: Novak, Matija Joy, Mike Kermek, Dragutin

Source: ACM Transactions on Computing Education. Jun 2019 19(3).

Peer Reviewed: Y

Page Count: 37

Descriptors: Plagiarism, Computer Software, Computer Software Evaluation, College Students, Programming, Computer Science Education, Identification, Technology Uses in Education, Mathematics

Detecting Source Code Plagiarism on .NET Programming Languages using Low-level Representation and Adaptive Local Alignment

Authors: Faqih Salban Rabbani Oscar Karnalim

Source: Journal of Information and Organizational Sciences, Vol 41, Iss 1 (2017)

Subject Terms: source code plagiarism detection, source code similarity, low-level language, .NET programming language, adaptive local alignment, Information theory, Q350-390

File Description: electronic resource

Relation: https://jios.foi.hr/index.php/jios/article/view/1086; https://doaj.org/toc/1846-3312; https://doaj.org/toc/1846-9418

Access URL: https://doaj.org/article/69137684c4154203b3a8332e11257de3

Identifying Plagiarised Programming Assignments Based on Source Code Similarity Scores

Authors: Cheers, Hayden Lin, Yuqing

Source: Computer Science Education. 2023 33(4):621-645.

Peer Reviewed: Y

Page Count: 25

Descriptors: Plagiarism, Programming, Computer Science Education, Identification, Assignments, Graphs, Computer Software, Undergraduate Students

A Comparison of Source Code Plagiarism Detection Engines

Authors: Lancaster, Thomas Culwin, Fintan

Source: Computer Science Education. 2004 14(2):101-112.

Peer Reviewed: Y

Page Count: 12

Descriptors: Foreign Countries, Plagiarism, College Students, Student Evaluation, Programming, Programming Languages, Computer Science Education, Computer Software, College Instruction, Internet, Computer Uses in Education, Search Engines, Comparative Analysis

Geographic Terms: United Kingdom

Automated Hints Generation for Investigating Source Code Plagiarism and Identifying The Culprits on In-Class Individual Programming Assessment

Authors: Ariel Elbert Budiman Oscar Karnalim

Source: Computers, Vol 8, Iss 1, p 11 (2019)

Subject Terms: source code plagiarism detection, in-class individual programming assessment, source code creation process, seating position, computer science education, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://www.mdpi.com/2073-431X/8/1/11; https://doaj.org/toc/2073-431X

Access URL: https://doaj.org/article/9af6fcb6e10d473794e3c815cd75d6dd