Software Source Code Plagiarism Detection Using Latent Semantic Analysis

Plagiarism is a main problem in academia. Academics often use plagiarism detection system or tools to detect similar source-code files in a program. Similar files are detected, the system proceeds with the investigation process which involves detecting the similar source code fragments with in evidence for proving plagiarism. This system describes tools that can be integrated with existing plagiarism detection to improve plagiarism detection performance. The system can be implements new thing between source-code to gathering corpus files. The source code content indicates the relative importance given source-code fragments across files in a corpus. This system is done using the latent semantic analysis, retrieving data technique, and detecting plagairism is important within the specific files under relation the corpus.