Electronic Source Code Plagiarism Detection

A paper on Electronic Source Code Plagiarism Checker/Detection

This paper covers a few algorithms used in an attempt to detect plagiarism among students’ computer program source codes electronically, that is, using a computer software program. One algorithm proved to meet most of the requirements with acceptable results and was implemented using VB .Net programming language.

Keywords: plagiarism detection, source code, kheme, source code plagiarism detection, plagiarism detector, source code plagiarism checker.

INTRODUCTION

Plagiarism means taking all or part of someone else’s work and taking credit for it, as though it were yours, and people do this for many different reasons. One the other hand, source code plagiarism means taking all or part of someone else’s computer program source code and taking all the credit. But even as often as this occurs in society, such as in businesses or even academia, it remains unethical and illegal. This project hence was to try to find a way to reduce the level of plagiarism among students in schools by facilitating the detection processes electronically by software

Table of Content

Abstract
Introduction
Reasons for Plagiarism
Types of Source Code Plagiarism
Approaches
Methodology and Experimentation
Token Comparison
Tokenization
Conclusion
References

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APA

Omuta, O. (2019). Electronic Source Code Plagiarism Detection. Afribary. Retrieved from https://track.afribary.com/works/electronic-source-code-plagiarism-detection

MLA 8th

Omuta, Okiemute "Electronic Source Code Plagiarism Detection" Afribary. Afribary, 19 Feb. 2019, https://track.afribary.com/works/electronic-source-code-plagiarism-detection. Accessed 23 Nov. 2024.

MLA7

Omuta, Okiemute . "Electronic Source Code Plagiarism Detection". Afribary, Afribary, 19 Feb. 2019. Web. 23 Nov. 2024. < https://track.afribary.com/works/electronic-source-code-plagiarism-detection >.

Chicago

Omuta, Okiemute . "Electronic Source Code Plagiarism Detection" Afribary (2019). Accessed November 23, 2024. https://track.afribary.com/works/electronic-source-code-plagiarism-detection

Electronic Source Code Plagiarism Detection

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