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To solve time inefficiency issue, only potential pairs are compared instring-matching-based source code plagiarism detection; wherein potentiality isdefined through a fast-yet-order-insensitive similarity measurement (adaptedfrom Information Retrieval) and only pairs which similarity degrees are higheror equal to a particular threshold is selected. Defining such threshold is nota trivial task considering the threshold should lead to high efficiencyimprovement and low effectiveness reduction (if it is unavoidable). This paperproposes two thresholding mechanisms---namely range-based and pair-count-basedmechanism---that dynamically tune the threshold based on the distribution ofresulted similarity degrees. According to our evaluation, both mechanisms aremore practical to be used than manual threshold assignment since they are moreproportional to efficiency improvement and effectiveness reduction.

Dynamic Thresholding Mechanisms for IR-Based Filtering in Efficient Source Code Plagiarism Detection