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Plagiarism detection of text documents
Nezval, Jiří ; Kašpar, Jakub (referee) ; Vítek, Martin (advisor)
This thesis informs the reader about plagiarism. It explaines basic methods and approaches of its detection. Furthermore, it contains a practical part realized in the Matlab enviroment involving creating a plagiarism detector. The detector was tested on a database of real thesis. Graphic user interface is also implemented into the detector.
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Application for Detection of Plagiarism
Šalplachta, Pavel ; Květoňová, Šárka (referee) ; Lukáš, Roman (advisor)
This thesis is dealing with programming languages C and C++, various methods writing their constructions and development of application which detects very similar programs written in these languages. The application is intended to control plagiarism in school projects in which students have to create a program in C or C++. The application can check short programs as well as large programs divided into several modules.
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Plagiarism Recognizer in PHP Source Code
Krpec, Ondřej ; Burget, Radek (referee) ; Křivka, Zbyněk (advisor)
The main goal of this thesis is to develop a system for detecting plagiarism in sets of student assignments written in PHP language. Plagiarism is viewed as a form of code obfuscation where students deliberately perform semantics preserving transformations of an original working version to pass it o as their own. In order to detect such obfuscations we develop a tool in which we attempt to nd transformations that have been applied, using several techniques and algorithms.
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Plagiarism detection of program codes
Nečadová, Anežka ; Smital, Lukáš (referee) ; Vítek, Martin (advisor)
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 plagiarism detection of program codes. The detector was applied to a database of student’s works, and the results were plotted.
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Plagiarism Detection in Software Projects Using Abstract Syntax Trees
Szymutko, Marek ; Seda, Pavel
Plagiarism is a hot topic in modern education andscience. It requires special attention since committing plagiarismis very easy with the use of the internet. This problem can befought against utilizing prevention or detection methods, whichhave been both used in this work. This paper introduces animplementation of a submission scheme of students’ projects inclasses taught at the Brno University of Technology. Scripts for anautomatic hand-in space for each student were created. Studentshave restricted privileges within these spaces on the GitLabcloud service. For plagiarism detection, a tool written in Pythonwas developed. This tool utilizes Abstract Syntax Trees compiledfrom the source code, which is a part of the Students’ solutions.The output of the comparison is represented with a tabular fileof the format .xlsx, which allows a detailed view. Ongoingimplementation is focused on widening the tool’s usability byadding a Python similarity comparison engine.
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Detection of plagiatorism in software projects in the BDS course
Szymutko, Marek ; Přinosil, Jiří (referee) ; Šeda, Pavel (advisor)
Plagiarism is a widespread problem, which can be fought by prevention or detection methods. This thesis contains a summary of plagiarism detection methods through automated means. To parse source code, an open-source abstract syntax tree compiler was employed. The functionality of this compiler was demonstrated in this thesis. To reduce the mutual visibility of students’ projects, a proposal for the submission process was created. GitLab cloud service was employed for this purpose. Initialization of these students’ spaces is performed via Bash scripts. Other scripts to archive and create spaces for groups of students in the GitLab service were also created. A similarity-detecting tool was created in Python programming language. This tool was specialized to be employed in the subject BPC-BDS for the detection of plagiarism in students’ assignments written in Java or Python. It can also be used in other subjects though. For similarity detection, numerical metrics and abstract syntax trees were used. The comparison output of the projects and their individual parts is represented with integer value and outputted into a tabular file of the format xlsx. This thesis also summarizes the strengths and weaknesses of the implemented solution and lists problems that were encountered in the process of implementation. A case study about plagiarism in the subject BDS in the academic year 2022/2023 is also included in this thesis.
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Detection of Duplicates in Huge Web Databases
Sadloň, Vladimír ; Galamboš, Leo (advisor) ; Kopecký, Michal (referee)
This master thesis analyses the methods used for duplicity document detection and possibilities of their integration with a web search engine. It offers an overview of commonly used methods, from which it chooses the method of approximation of the Jaccard similarity measure in combination with shingling. The chosen method is adapted for implementation in the Egothor web search engine environment. The aim of the thesis is to present this implementation, describe its features, and find the most suitable parameters for the detection to run in real time. An important feature of the described method is also the possibility to make dynamic changes over the collection of indexed documents.
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Detection of source code plagiarism
Bláhová, Barbora ; Harabiš, Vratislav (referee) ; Kašpar, Jakub (advisor)
The purpose of this thesis is to introduce the matters of plagiarism of source codes and to suggest methods, that will be used to create the original plagiarism detector. Theoretical part of the thesis states the definitions and the most common methods of plagiarism, both in general and in source codes. Furthermore it presents already existing types of the detectors and states principals, according to which the detection can be performed. Practical part deals with implementation of detecton and it´s testing.
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