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Relevant bibliographies by topics / Code plagiarism / Dissertations / Theses

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Dissertations / Theses on the topic 'Code plagiarism'

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Published: 5 June 2025

Last updated: 2 August 2025

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1

Liaqat, Ahmad Gull, and Aijaz Ahmad. "Plagiarism Detection in Java Code." Thesis, Linnéuniversitetet, Institutionen för datavetenskap, fysik och matematik, DFM, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-13231.

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Henning, Johan, and Nicolai Hellesnes. "Detecting Plagiarism Patterns in student code." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-255049.

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Plagiarism has become a big concern in programming both in education and in the industry of software development. While a lot of effort have been put into detecting plagiarism, most of the it have been focused on detecting plagiarism in plain text. The methods for cheating has evolved as plagiarism detection has improved. This thesis looks at plagiarism in entry level programming courses to discover how wide spread the cheating is, and if plagiarism detection algorithms in conjunction with metadata from GitHub can be used to better detect cheating. More specifically the commit metadata from Gi

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Mengoli, Chiara. "Plagiarism." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/20928/.

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This document aims to provide an overview of the current situation of plagiarism. This survey presents a taxonomy of various plagiarism forms and includes discussion on each of these forms. Moreover, it presents the existence of various tools and systems for detecting plagiarism. The easy access to the Web, its increasing use, and the development of technologies have led to the need to adapt plagiarism laws, implement new mechanisms anti-plagiarism or mechanisms of detection and empower people on the problem of plagiarism. Therefore, there will be a dedicated section for each of these aspects.

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Bergman, Adam. "Automatic Detection of Source Code Plagiarism in Programming Courses." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-104883.

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Source code plagiarism is an ongoing problem in programming courses at higher academic institutions. For this reason, different automated source code plagiarism detection tools have been developed. However, they require several manual steps before the submissions can be compared. Linnaeus University uses GitLab to handle their students’ code-related assignments but lacks an integrated workflow for checking submissions against plagiarism. Instead, Linnaeus University’s plagiarism-checking process is done manually, which is a challenging and time-consuming process. This thesis is a case study on

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Holma, Niklas. "Program Dependence Graph Generation and Analysis for Source Code Plagiarism Detection." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-87446.

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Systems and tools that finds similarities among essays and reports are widely used by todays universities and schools to detect plagiarism. Such tools are however insufficient when used for source code comparisons since they are fragile to the most simplest forms of diguises. Other methods that analyses intermediate forms such as token strings, syntax trees and graph representations have shown to be more effective than using simple textual matching methods. In this master thesis report we discuss how program dependence graphs, an abstract representation of a programs semantics, can be used to

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6

Cosma, Georgina. "An approach to source-code plagiarism detection investigation using latent semantic analysis." Thesis, University of Warwick, 2008. http://wrap.warwick.ac.uk/3575/.

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This thesis looks at three aspects of source-code plagiarism. The first aspect of the thesis is concerned with creating a definition of source-code plagiarism; the second aspect is concerned with describing the findings gathered from investigating the Latent Semantic Analysis information retrieval algorithm for source-code similarity detection; and the final aspect of the thesis is concerned with the proposal and evaluation of a new algorithm that combines Latent Semantic Analysis with plagiarism detection tools. A recent review of the literature revealed that there is no commonly agreed defin

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Tennyson, Matthew Francis. "Authorship Attribution of Source Code." NSUWorks, 2013. http://nsuworks.nova.edu/gscis_etd/322.

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Authorship attribution of source code is the task of deciding who wrote a program, given its source code. Applications include software forensics, plagiarism detection, and determining software ownership. A number of methods for the authorship attribution of source code have been presented in the past. A review of those existing methods is presented, while focusing on the two state-of-the-art methods: SCAP and Burrows. The primary goal was to develop a new method for authorship attribution of source code that is even more effective than the current state-of-the-art methods. Toward that end, a

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8

Nečadová, Anežka. "Detekce plagiátů programových kódů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2015. http://www.nusl.cz/ntk/nusl-221352.

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This semestral thesis presents definition of plagiarism and focuses primarily on solving this problem in academic world. The main topic is the detection of plagiarism. It is discussed the various steps of the detection process and special attention is given to plagiarism detection of program codes. The work mentions question of the reliability of detection tools and divides the plagiarism detection methods into basic groups. One chapter is devoted metrics for comparing files. Mentioned are two tools available to detect plagiarism. In the last chapter is analyzed own draft program for plagiaris

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9

Hattingh, F., AK Buitendag, and der Walt JS van. "Presenting an alternative source code plagiarism detection framework for improving the teaching and learning of programming." Journal of Information Technology Education: Innovations in Practice, 2003. http://encore.tut.ac.za/iii/cpro/DigitalItemViewPage.external?sp=1001990.

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Abstract The transfer and teaching of programming and programming related skills has become, increasingly difficult on an undergraduate level over the past years. This is partially due to the number of programming languages available as well as access to readily available source code over the Web. Source code plagiarism is common practice amongst many undergraduate students. This practice has a detrimental effect on the presentation of specific content relating to introduction to programming courses. One of the problems identified in the research conducted is that turnaround time with relation

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10

Baltes, Sebastian [Verfasser]. "Software Developers' Work Habits and Expertise : Empirical Studies on Sketching, Code Plagiarism, and Expertise Development / Sebastian Baltes." Berlin : epubli, 2019. http://d-nb.info/1192096452/34.

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11

Joeckel, George Louis. "An Evaluation of Compatibility, Effectiveness, Utility, and Implementation of Plagiarism-Detection Software Operating in the Honor Code Environment at Brigham Young University." Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd2193.pdf.

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12

Chilowicz, Michel. "Recherche de similarité dans du code source." Phd thesis, Université Paris-Est, 2010. http://tel.archives-ouvertes.fr/tel-00587628.

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La duplication de code source a de nombreuses origines : copie et adaptation inter-projets ou clonage au sein d'un même projet. Rechercher des correspondances de code copié permet de le factoriser dans un projet ou de mettre en évidence des situations de plagiat. Nous étudions des méthodes statiques de recherche de similarité sur du code ayant potentiellement subi des opérations d'édition telle que l'insertion, la suppression, la transposition ainsi que la factorisation et le développement de fonctions. Des techniques d'identification de similarité génomique sont examinées et adaptées au conte

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13

Maciel, Danilo Leal. "Sherlock N-Overlap: normalization invasive and overlap coefficient for analysis of similarity between source code in programming disciplines." Universidade Federal do CearÃ, 2014. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=12195.

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CoordenaÃÃo de AperfeÃoamento de Pessoal de NÃvel Superior<br>This work is contextualized in the problem of plagiarism detection among source codes in programming classes. Despite the wide set of tools available for the detection of plagiarism, only few tools are able to effectively identify all lexical and semantic similarities between pairs of codes, because of the complexity inherent to this type of analysis. Therefore to the problem and the scenario in question, it was made a study about the main approaches discussed in the literature on detecting plagiarism in source code and as a main co

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14

Бугальський, Дмитро Іванович, та D. I. Bygalskyy. "Інформаційні технології пошуку плагіату в електронних документах". Thesis, Тернопільський національний технічний університет імені Івана Пулюя, 2014. http://elartu.tntu.edu.ua/handle/123456789/5261.

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Work for the degree of Master of Science specialization 8.05010201 - Computer networks and systems - Ternopil Ivan Pul'uj National Technical University, Department of Computer Information Systems and Software Engineering, Computer Networks and Systems, Ternopil, 2014.<br>Робота присвячена дослідженню способів контролю присутності плагіату в електронних документах. Рішення основного завдання в першу чергу пов'язано з розробкою відповідного методологічного та алгоритмічного забезпечення. Об‘єкт дослідження – інформаційні технології пошуку плагіату у електронних документах. Предмет дослідженн

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15

Almeida, Diogo Cabral de. "Pride: uma ferramenta de detecção de similaridade em código-fonte." Universidade Federal de Alagoas, 2015. http://www.repositorio.ufal.br/handle/riufal/1611.

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Plagiarism among students of introductory programming courses has been increasing over time. The ease of exchange of information brought by the Internet can be the factor responsible for this increase. In many cases, students try to disguise the plagiarism making some modiﬁcations to the source code. However, some masking techniques are extremely complex to be detected and may not be seen with the naked eye. In this dissertation, detection techniques were analyzed and, on this basis, was developed a system able to detect plagiarism in source code. This system is based on the representation cod

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16

Kašpar, Jakub. "Vyhodnocení podobnosti programových kódů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2016. http://www.nusl.cz/ntk/nusl-241092.

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Main goal of this work is to get acquainted with the plagiarism problem and propose the methods that will lead to detection of plagiarism in program codes. In the first part of this paper different types of plagiarism and some methods of detection are introduced. In the next part the preprocessing and attributes detection is described. Than the new method of detection and adaptive weights usage is proposed. Last part summarizes the results of the detector testing on the student projects database

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17

Cheers, Hayden John. "Source code plagiarism detection in the presence of pervasive plagiarism-hiding source code modifications." Thesis, 2021. http://hdl.handle.net/1959.13/1430168.

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Research Doctorate - Doctor of Philosophy (PhD)<br>Source code similarity is a well-studied area of software engineering. One notable area applied to education is the detection of source code plagiarism from undergraduate computing students. Many prior works have proposed automated source code plagiarism detection tools to identify indications of source code plagiarism in undergraduate programming assignments. However, there are three important problems with existing works on the development and evaluation of source code plagiarism detection tools. Firstly, the evaluations of source code plagi

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18

Obaido, George Rabeshi. "Structural analysis of source code plagiarism using graphs." Thesis, 2017. http://hdl.handle.net/10539/23505.

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A dissertation submitted to the Faculty of Science, University of the Witwatersrand, Johannesburg in fulfillment of the requirements for the degree of Master of Science. May 2017<br>Plagiarism is a serious problem in academia. It is prevalent in the computing discipline where students are expected to submit source code assignments as part of their assessment; hence, there is every likelihood of copying. Ideally, students can collaborate with each other to perform a programming task, but it is expected that each student submit his/her own solution for the programming task. More so, one mi

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19

Huang, Fu-Chu, and 黃福助. "A Source Code Plagiarism Detection System Using Multiple Similarity Algorithms." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/7s89sn.

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博士<br>國立臺北科技大學<br>資訊工程系研究所<br>101<br>Plagiarism is a serious issue in education. This study proposes a system for detecting plagiarism in programming assignments of students objectively. Most previous researches used a single method to find out plagiarism programs. However, every single method has its drawbacks which might undermine the accuracy and objectivity. This research proposes three methods, namely text-based, structure-based, and attribute-based methods, to compute similarity for detecting plagiarism fairly. In text-based method, a process flow is built and winnowing algorithm is empl

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20

Larsson, Andreas. "Efficient use of source code plagiarism detection tools in academia." Thesis, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-105235.

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Source code plagiarism detection tools have been readily available for use in academia and industry for a long time. While there are many motivations for the usage of these tools in Computer Science education, they are often not implemented on an institutional level. This thesis will describe an efficient process of using source code plagiarism detec-tion tools in academia today. A literature review and a survey will be used to describe the process of finding source code plagiarism. A survey will collect some attitudes of instructors that affect the qualitative concept of efficiency. An interv

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21

Lin, Jia-He, and 林家禾. "A study on effective approaches of source code analysis to detect plagiarism." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/3w6gqd.

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碩士<br>中原大學<br>資訊工程研究所<br>106<br>From source code plagiarism among large software in enterprises to duplicates of programming assignments among students, code plagiarism detection have been an important issue at all times. The methods of code plagiarism detection can be roughly divided into two categories: textual analysis and structural analysis. Most of textual analysis methods adopt one single algorithm to extract a portion of strings from source code, compute the similarity between every two programs and then assess the possibility of plagiarism accordingly. Structural analysis methods main

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22

Putri, Farica Perdana, and 葉莉佳. "A Code Plagiarism Detection System Based on Abstract Syntax Tree and a High-Level Fuzzy Petri Ne." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/41006295919145279145.

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碩士<br>國立臺北大學<br>資訊工程學系<br>105<br>Students, who major in computer science and/or computer specialty, are required to design and code in a variety of programming languages. However, many students submit the source code assignments they get from the Internet or friends with no or little modification. Detecting code plagiarisms done by the students is very time-consuming and can lead the problems to unfair learning performance evaluation. This thesis proposes a novel method of detecting the source code plagiarisms by using a high-level fuzzy Petri net (HLFPN) based on abstract syntax tree (AST). F

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