Abstract
The advent of internet and growth of open source software repositories has made source code readily accessible to software developers. Although, reusing of source code has its own advantages, care must be taken to ensure that proprietary software does not infringe any licenses. In this context, plagiarism detection plays an important role. In this paper, we propose a robust technique to detect plagiarism in source code. Our approach uses a language aware token representation, which is resilient to code transformations and an improved querying and matching technique to detect plagiarism in software code. We evaluated our approach by comparing it with other plagiarism detection tools - Copy Paste Detector (CPD), Sherlock, CCFinder and Plaggie.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
