Type Redef nition Plagiarism Detection of Token-Based Comparison
The homologous software detection technology plays a very important role in the work of intellectual property protection by identifying code plagiarism. Plagiarism mainly happens as copy-and-paste of the code, replacing the name of functions or variables, reordering the sequence of the statement, type redefinition, and so on. At present, there are three homologous software detection technology methods on the market: text-based similarity detection, token-based similarity detection and syntax structure-based similarity detection. Token-based similarity detection technology can find the plagiarism of copy-and-paste of the code, replacing the name of functions or variables, reordering the sequence of the statement but type redefinition. In order to detect code plagiarism more effectively, we present a detecting algorithm based on type redefinition plagiarism in this paper. It could detect any level of simple type redefinition plagiarism, repeated type redefinition plagiarism and type redefinition with pointer plagiarism. Experiments show, the algorithm can detect type redefinition code plagiarism effectively, increasing accuracy of detection, performing well in the code comparison field.
homologous software Token type redefinition
Lifang Han Baojiang Cui Ru Zhang Zhongxian Li Jianxin Wang Yongle Hao
School of Computer BUPT Beijing, China School of Information BFU Beijing, China CNITSEC Beijing, China
国际会议
南京
英文
351-355
2010-11-01（万方平台首次上网日期，不代表论文的发表时间）