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Source Code Anti-Plagiarism: a C# Implementation using the Routing Approach [article]

Fabrizio d'Amore, Lorenzo Zarfati
2022 arXiv   pre-print
The approach introduced throughout this paper is about a source code anti-plagiarism technique which aims at rendering the source code incomprehensible to a possible plagiarist and at the same time preventing  ...  source code modifications.  ...  a more mature approach and tested the method for the Java language.  ... 
arXiv:2201.02241v1 fatcat:tcuszyfu3jax3dukdwntthoqye

A Machine Learning Based Tool for Source Code Plagiarism Detection

Upul Bandara, Gamini Wijayarathna
2011 International Journal of Machine Learning and Computing  
We have trained and tested three machine learning algorithms for detecting source code plagiarism.  ...  Majority of the current source code plagiarism detection tools are based on structured methods. Structural properties of a plagiarized program and the original program differ significantly.  ...  INTRODUCTION Detection of source code plagiarism is equally valuable for both academia and industry.  ... 
doi:10.7763/ijmlc.2011.v1.50 fatcat:uf77kzeetfhrxlbtz3fznf7iwq

Overview and Comparison of Plagiarism Detection Tools

Asim M. El Tahir Ali, Hussam M. Dahwa Abdulla, Václav Snásel
2011 Databases, Texts, Specifications, Objects  
detection and some methods used in code source plagiarism detection, also we have done a comparison between five of software used for textual plagiarism detection: (PlagAware, PlagScan, Check for Plagiarism  ...  , iThenticate and PlagiarismDetection.org), software are compared with respect of their features and performance.  ...  Plagiarism detection system or algorithms used in source-code similarity detection can be classifies according to Roy and Cordy [9] can be classified as based on either: -'Strings -look for exact textual  ... 
dblp:conf/dateso/AliAS11 fatcat:zshmqgn2jvdjhbe6clbouxxmt4

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

Oscar KARNALIM, Setia BUDI, Hapnes TOBA, Mike JOY
2019 Informatics in Education. An International Journal  
Source code plagiarism is an emerging issue in computer science education. As a result, a number of techniques have been proposed to handle this issue.  ...  The dataset consists of 467 source code files, covering seven introductory programming assessment tasks.  ...  Acknowledgments The authors would like to thank all the contributors who are involved in the process of dataset creation.  ... 
doi:10.15388/infedu.2019.15 fatcat:6adbfnvohfg5tm6gpoif2ctaei

Plagiarism Detection in Computer Programming Using Feature Extraction from Ultra-Fine-Grained Repositories

Vedran Ljubovic, Enil Pajic
2020 IEEE Access  
Also, such tools are unable to detect instances of "external plagiarism" where students obtained unethical help from sources not among other students of the same course.  ...  Each editing event in program source can be stored as a new commit to create a form of ultra-fine-grained source code repository.  ...  Commonly algorithms are compared based on the type of source code analysis performed and retrieval methods.  ... 
doi:10.1109/access.2020.2996146 fatcat:mypmdmnp2rdl5hogbntb4ikjmq

SSNCSE_NLP@Authorship Identification of SOurce COde (AI-SOCO) 2020

Nitin Nikamanth Appiah Balaji, B. Bharathi
2020 Forum for Information Retrieval Evaluation  
Issues such as plagiarism in academic activities, open-source contributions, and identification of the creators of malware applications can be done using automatic authorship identification models.  ...  As the amount of data and software applications increases, it becomes important to identify the true authors for ownership and liability of the work.  ...  This model aims to safeguards the rights of one's work in academics, open-source contributions, projects, online coding contests, and all around the open internet.  ... 
dblp:conf/fire/BalajiB20b fatcat:y4kfkbcnnfgbbdjljdywkuaurq

Ranking-based and Classification-based Approaches for Code Author Identification

Zhongyuan Han, Tang Li, Xiangyu Wang, Yujie Xu, Menghan Wu, Zhiran Li, Zhengyu Wu, Yong Han
2020 Forum for Information Retrieval Evaluation  
In this paper, we propose two approaches, the ranking-based approach and the classificationbased approach, for the source code author identification (AI-SOCO) task of FIRE2020 (Forum for Information Retrieval  ...  The ranking-based approach ranks the source codes according to the number of occurrences of the 15-grams, while the classification-based approach exploits the TF-IDF of terms as features to learn a classifier  ...  Acknowledgements This work is supported by National Social Science Fund of China (No.18BYY125).  ... 
dblp:conf/fire/HanLWXWLWH20 fatcat:nsxnf4aftfevfmkpbn4a25a4je

Academic Plagiarism Detection

Tomáš Foltýnek, Norman Meuschke, Bela Gipp
2019 ACM Computing Surveys  
The section Definition and Typology of Plagiarism introduces our definition and a three-layered model for addressing plagiarism (methods, systems, and policies).  ...  To structure the presentation of the research contributions, we propose novel technically oriented typologies for plagiarism prevention and detection efforts, the forms of academic plagiarism, and computational  ...  Technologically, source code PD and PD for text are closely related, and many plagiarism detection methods for text can also be applied for source code PD [57] . Chowdhury et al.  ... 
doi:10.1145/3345317 fatcat:yk6f5xl2kvdxlhvsolem6zfdsu

Team Alexa at Authorship Identification of SOurce Code (AI-SOCO)

Mutaz Bni Younes, Nour Al-Khdour
2020 Forum for Information Retrieval Evaluation  
In this paper, we discuss our team's effort on the Authorship Identification of Source Code task. The task is about finding the author of a given code.  ...  This task provides 100,000 source codes for 1,000 different users; the organizers collected 100 source code for each user from the open submissions in the Codeforces online judge.  ...  The remainder of the paper is organized as follows: Section 2 overviews related works. Section 3 describes the task and the used dataset.  ... 
dblp:conf/fire/YounesA20 fatcat:eh7byaauerbzrap5v25dqi2nkq

A Survey on Plagiarism Detection Systems

A. S. Bin-Habtoor, M. A. Zaher
2012 Journal of clean energy technologies  
At the end of this paper authors propose a web enabled system to detect plagiarism in documents , code and images, also this system could be used in E-Learning, E-Journal, and E-Business.  ...  This paper presents a survey on plagiarism detection systems, a summary of several plagiarism types, techniques, and algorithms is provided.  ...  So authors conclude that the need of plagiarism detection systems become very important issues and the use of plagiarism detection systems in E-Learning improve academic integrity, and also instances of  ... 
doi:10.7763/ijcte.2012.v4.447 fatcat:4nxvzeafwfc6dmf44jvb77tbkm

An Approach to Source-Code Plagiarism Detection and Investigation Using Latent Semantic Analysis

G. Cosma, M. Joy
2012 IEEE transactions on computers  
It is important that instances of plagiarism are detected and gathering sound evidence to confidently proceed with plagiarism is a vital procedure.  ...  the topic of similarity thresholds and source-code plagiarism.  ... 
doi:10.1109/tc.2011.223 fatcat:cmbkpisguzdxnmic6hocux6njq

Similarity Detection in Large Volume Data using Machine Learning Techniques

2019 International journal of recent technology and engineering  
Copying the entire source code or logic used in a particular program without permissions or copyright is the stealing that happens in the case of source codes.  ...  There exist many ways to detect plagiarism in source code files. To perform plagiarism checking for a large dataset, the computational cost is very high and moreover it's a time consuming job.  ...  In the case of source code files plagiarism is mainly done by replacing the original word with another word for identifiers and changing the structure or arrangement of the program.  ... 
doi:10.35940/ijrte.c3987.098319 fatcat:gbqqxzfhvfemzel26z34kvd6qy

Which Source Code Plagiarism Detection Approach is More Humane? [article]

Oscar Karnalim, Lisan Sulistiani
2018 arXiv   pre-print
Using those mechanisms, a comparative study toward attribute-and structure-based plagiarism detection approach (i.e., two popular approach categories in source code plagiarism detection) is conducted.  ...  This paper contributes in developing source code plagiarism detection that is more aligned with human perspective.  ...  It is inspired from ranking concept in Information Retrieval [33] (where relevancy is defined based on ranks) and A/B testing in Web Analytics [34] (where human should select one between two instances  ... 
arXiv:1809.08559v1 fatcat:gc3zvvhch5cdtovb2ufjlxzwuu

CodEX: Source Code Plagiarism Detection Based on Abstract Syntax Tree

Mengya Zheng, Xingyu Pan, David Lillis
2018 Irish Conference on Artificial Intelligence and Cognitive Science  
CodEX is a source code search engine that allows users to search a repository of source code snippets using source code snippets as the query also.  ...  This, combined with node hashing and similarity calculations, allows users to search for source code snippets that match suspected plagiarism cases.  ...  80% of these mixed-plagiarism source files are judged as plagiarism cases by the system and 20% of them are not detected as plagiarism cases as their copied code blocks are scattered and relatively small  ... 
dblp:conf/aics/ZhengPL18 fatcat:qm7vusxpafdm3c7ruwldpwnpty

Automatic Detection of Plagiarism in Writing

Mahshad Davoodifard
2022 Studies in Applied Linguistics & TESOL  
a source of plagiarism and evaluating the accuracy of the model).  ...  I used the PAN-PC-11 data sets and extracted tf-idf scores of text documents and cosine similarity measures between source and suspicious documents to find text overlap.  ...  a source of plagiarism and evaluating the accuracy of the model).  ... 
doi:10.52214/salt.v21i2.9058 fatcat:tynajccqv5autgsxnfbaopebsy
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