Finding Clones with Dup: Analysis of an Experiment

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CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation (2021, methodology): “Studies [6, 60] have shown that a software system usually contain 7-23% clone codes.”
Comparison and evaluation of code clone detection techniques and tools: A qualitative approach (2009, background): “…detection research, but have also exposed how challenging it is to compare different tools, due to the diverse nature of the detection techniques, the lack of standard similarity deﬁnitions, the absence of benchmarks, the diversity of target languages, and the sensitivity to tuning parameters [4].”
Towards a Big Data Curated Benchmark of Inter-project Code Clones (2014, unknown): “Studies by Baker [10], and Svajlenko and Roy [11] have found several problems in Bellon's benchmark and the union method in general.”