2007/01/01 by Ettore Merlo, Merlo, Ettore
Computer Science · #Advanced Malware Detection Techniques #Plagiarism detection #Software Engineering Research #Web Application Security Vulnerabilities #clone detection #code metrics #software comparison #spectral analysis
paper · doi:10.4230/dagsemproc.06301.7
openalex publication_date 2007/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
An original method of spectral similarity analysis for plagiarism detection in university project is presented. The approach is based on a clone detection tool called CLAN that performs metrics based similarity analysis of source code fragments. Definitions and algorithms for spectral similarity analysis are presented and discussed. Experiments performed on university projects are presented. Experimental results include the distribution of similarity in C and C++ projects. Analysis of spectral similarity distribution identifies the most similar pairs of projects that can be considered as candidates for plagiarism.