Evaluating the robustness of source code plagiarism detection tools to pervasive plagiarism-hiding modifications

Revisiting the challenges and surveys in text similarity matching and detection methods

“…The structural similarity is also useful for detecting source code similarity. As reported in [56], [57], the structural information of source code could show the part of plagiarism modification.…”

Sensitivity Preservation and Precision of Plagiarism Detection Engines for Modified Short Programs

“…The use of automated tools enables Cheers et al to test a substantially greater number of mutations and samples when compared to this work. However, the results in Cheers et al are unable to answer this paper's research question because the purpose of Cheers et al's work is to measure similarity robustness in isolation, and does not attempt to evaluate detection correctness [15,Sec. 4.1].…”

“…Second is the work of Cheers et al [15], another quantitative analysis of similarity engine mutation robustness. The use of automated tools enables Cheers et al to test a substantially greater number of mutations and samples when compared to this work.…”

“…As discussed, it is not a normalized measure that can be used to compare SCPDTs [similarity engines] on different data sets. Identifying a 'universal' normalized comparison metric is outside of the scope of this work [15,Sec. 8.3,pp.…”

“…This paper contributes such a universal normalized comparison metric. One major focus of Cheers et al is the layering of multiple mutations, often by a nondeterministic method [15,Sec. 5.0], which is beyond the scope of this work.…”