Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/157545
Title: Development of automated plagiarism detection system
Authors: Tan, Jun Long
Keywords: Engineering::Computer science and engineering
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Tan, J. L. (2022). Development of automated plagiarism detection system. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157545
Abstract: This final year project “Development of Automated Plagiarism Detection System” aims to develop a standalone web-based system for detecting and calculating the similarity between students’ codes based on C Programming Language. As many students are taking programming courses in their university studies, lecturers spend the majority of their time grading the programming assignment manually. To reduce this time-consuming process, a web-based automated assignment submission system was introduced to grade the assignment automatically. In the School of Computer Science and Engineering @ Nanyang Technological University (NTU SCSE), it uses this system called Automated Programming Assignment Submission (APAS) for grading of students’ code automatically. However, the major problem in APAS is plagiarism detection. In this project, we developed a separate standalone system called “Automated Plagiarism Detection System (APDS)” to detect plagiarism based on student submitted code. It calculates the similarity between the student codes using SIM Algorithm and displays the similarity percentage. When the similarity percentage is lower than the acceptable percentage, the student can submit the same code to APAS for grading. Keywords – Plagiarism checking; Python; Application development
URI: https://hdl.handle.net/10356/157545
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
FYP Report (Jun Long, SCSE21-0339).pdf
  Restricted Access
578.17 kBAdobe PDFView/Open

Page view(s)

46
Updated on Dec 1, 2022

Download(s)

10
Updated on Dec 1, 2022

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.