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Source Code Plagiarism Detection in Academia with Information Retrieval: Dataset and the Observation
Peer reviewed
Download full textKarnalim, Oscar; Budi, Setia; Toba, Hapnes; Joy, Mike – Informatics in Education, 2019
Source code plagiarism is an emerging issue in computer science education. As a result, a number of techniques have been proposed to handle this issue. However, comparing these techniques may be challenging, since they are evaluated with their own private dataset(s). This paper contributes in providing a public dataset for comparing these…
Descriptors: Plagiarism, Computer Science Education, Comparative Analysis, Problem Solving
Direct linkJoy, Mike; Griffiths, Nathan; Boyatt, Russell – Journal on Educational Resources in Computing, 2005
Computer programming lends itself to automated assessment. With appropriate software tools, program correctness can be measured, along with an indication of quality according to a set of metrics. Furthermore, the regularity of program code allows plagiarism detection to be an integral part of the tools that support assessment. In this paper, we…
Descriptors: Plagiarism, Evaluation Methods, Programming, Feedback (Response)
