A Meta-analytical Comparison of Naive Bayes and Random Forest for
  Software Defect Prediction
Ch Muhammad Awais Wei Gu Gcinizwe Dlamini Zamira Kholmatova Giancarlo Succi
Is there a statistical difference between Naive Bayes and Random Forest in
terms of recall, f-measure, and precision for predicting software defects? By
utilizing systematic literature review and meta-analysis, we are answering this
question. We conducted a systematic literature review by establishing criteria
to search and choose papers, resulting in five studies. After that, using the
meta-data and forest-plots of five chosen papers, we conducted a meta-analysis
to compare the two models. The results have shown that there is no significant
statistical evidence that Naive Bayes perform differently from Random Forest in
terms of recall, f-measure, and precision.