A Survey of Binary Similarity and Distance Measures

By Seung-Seok Choi, Sung-Hyuk Cha, C. Tappert. 2010

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A Survey on Software Fault Localization (2016, methodology): “Ochiai2 [267] is an extension of Ochiai, and its formula is as follows: In Table 4 lists 31 similarity coefﬁcient-based techniques, along with their algebraic forms, which have been used in different studies such as [75], [364], [371].”
Feature selection for text classification: A review (2018, methodology): “A detailed survey on similarity and distance measures can be found in [13].”
The DStar Method for Effective Software Fault Localization (2014, methodology): “one and the same [7], [29], [37]), and thus the modified version of the coefficient may already exist.”
Capturing value from big data – a taxonomy of data-driven business models used by start-up firms (2016, methodology): “The Euclidean distance measure was used, which implicitly includes positive and negative matches by determining the distance only based on mismatches b and c (Choi et al., 2010):”