We are developing new techniques for analysing collections of files containing program source code, in order to identify similarities amongst the files and hence detect potential plagiarism, including the application of string algorithms, and the use of Latent Semantic Analysis (LSA).
Investigators: Georgina Cosma and Mike Joy
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Georgina Cosma and Mike Joy, “Towards a Definition on Source-Code Plagiarism”, IEEE Transactions on Education (to appear), 2007. (DOI 10.1109/TE.2007.906776)
Georgina Cosma and Mike Joy, Source-code Plagiarism: a UK Academic Perspective, Research Report RR-422, Department of Computer Science, University of Warwick, Coventry, UK, 2006. (Web)
Georgina Cosma and Mike Joy, "Source-code Plagiarism: a UK Academic Perspective" Proceedings of the 7th Annual Conference of the HEA Network for Information and Computer Sciences, HEA Network for Information and Computer Sciences, 2006. (PDF)
Maxim Mozgovoy, Kimmo Fredriksson, Daniel White, Mike Joy and Erkki Sutinen, "Fast Plagiarism Detection System", Proceedings of String Processing and Information Retrieval: 12th International Conference (SPIRE 2005), M. Consens and G. Navarro (eds.), Springer-Verlag, Lecture Notes in Computer Science 3772, pp. 267-270, 2005. (DOI 10.1007/11575832_30)
Daniel White and Mike Joy, "Sentence-Based Natural Language Plagiarism Detection", ACM Journal on Educational Resources in Computing 4(4) pp. 1-20, 2004. (DOI 10.1145/1086339.1086341)
Mike Joy and Michael Luck, "Plagiarism in Programming Assignments", IEEE Transactions on Education 42(2), pp. 129-133, 1999. (DOI 10.1109/13.762946)
Mike Joy, Plagiarism in Programming Assignments, Research Report RR-345, Department of Computer Science, University of Warwick, Coventry, UK, 1998. (Web)