{"title":"Design and Implementation of Code Plagiarism Detection System","authors":"Tingzhou Liu, Zi-Shu Zhao, Hui Fang, Qin Huang, Wei Zhang","doi":"10.1109/AINIT59027.2023.10212887","DOIUrl":null,"url":null,"abstract":"Despite the offline activities restriction due to the pandemic in the past two years, technology development allows courses and teaching activities to hold online. Therefore, online exams and competitions for computer-related majors will inevitably involve plagiarism. This research aims to develop an efficient and easy-to-use code plagiarism detection system supported by practical application results. The paper will first analyze the advantages and disadvantages of existing code plagiarism detection methods and systems, investigate the needs of college teachers for code plagiarism detection, propose a method to parse the source code, and then use the RKR-GST algorithm to calculate the similarity between the codes.","PeriodicalId":276778,"journal":{"name":"2023 4th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 4th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AINIT59027.2023.10212887","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Despite the offline activities restriction due to the pandemic in the past two years, technology development allows courses and teaching activities to hold online. Therefore, online exams and competitions for computer-related majors will inevitably involve plagiarism. This research aims to develop an efficient and easy-to-use code plagiarism detection system supported by practical application results. The paper will first analyze the advantages and disadvantages of existing code plagiarism detection methods and systems, investigate the needs of college teachers for code plagiarism detection, propose a method to parse the source code, and then use the RKR-GST algorithm to calculate the similarity between the codes.