... Empirical studies have investigated code review efficiency and effectiveness to understand the practice, elaborate recommendations, and develop improvements. Together, these studies share a set of useful code review aspects for further investigation, such as change description [25,75], code churn [76], length of discussion [45,54,66,76], number of changed files [25,45], number of commits [54,67], number of people in the discussion [45], number of resubmissions [45,66], number of review comments, [21,54,66], number of reviewers [66,72], size of change [20,45,66], and time to merge [37,41]. Therefore, the mining of raw code review data (Step 3) consisted of collecting the code reviewing-related attributes listed in Table 1, considering 8,761 PRs from Step 2 (sample 2, Figure 5). ...