14 citations · 28 across the 5 of their papers we have counts for
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cs.SE2018★ 1 cited
Dynamic Thresholding Mechanisms for IR-Based Filtering in Efficient Source Code Plagiarism Detection
Oscar Karnalim, Lisan Sulistiani
To solve time inefficiency issue, only potential pairs are compared in string-matching-based source code plagiarism detection; wherein potentiality is defined through a fast-yet-or…
cs.SE2018
Which Source Code Plagiarism Detection Approach is More Humane?
Oscar Karnalim, Lisan Sulistiani
This paper contributes in developing source code plagiarism detection that is more aligned with human perspective. Three evaluation mechanisms that directly relate human perspectiv…
cs.SE2018
The Effectiveness of Low-Level Structure-based Approach Toward Source Code Plagiarism Level Taxonomy
Oscar Karnalim, Setia Budi
Low-level approach is a novel way to detect source code plagiarism. Such approach is proven to be effective when compared to baseline approach (i.e., an approach which relies on so…