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  • 标题:Software Plagiarism Detection Techniques: A Comparative Study
  • 本地全文:下载
  • 作者:Divya Luke ; Divya P.S ; Sony L Johnson
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2014
  • 卷号:5
  • 期号:4
  • 页码:5020-5024
  • 出版社:TechScience Publications
  • 摘要:Plagiarism defines as “the act of the writings of another person and passing them off as one’s own. The fraudulence is closely related to forgery and piracy - practices generally in violation of copyright laws. Software plagiarism has been an important issue in software industry for intellectual property and software license protection, especially for open source projects. Thus it is important to develop robust and effective approaches to software plagiarism detection. In this paper we compare six tools for detecting plagiarism: GPlag, JPlag, Marble, MOSS, plaggie and SIM. The criteria we used for qualitative comparison are supported languages, extendibility, presentation of results, usability, exclusion of template code, exclusion of small files, historical comparison, submission or file based rating, local or web-based and open source.
  • 关键词:Plagiarism; Program Dependency Graph (PDG);tokens; source code
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