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.

翻译：朴素贝叶斯与随机森林在预测软件缺陷时的召回率、F1值和精确率是否存在统计差异？通过系统性文献综述与元分析，我们回答了这一问题。我们制定了论文搜索与筛选标准，最终选定五篇研究进行系统性文献综述。随后，利用这五篇论文的元数据与森林图，我们实施了一项元分析以比较两种模型。结果显示，在召回率、F1值和精确率方面，尚无显著统计证据表明朴素贝叶斯与随机森林存在性能差异。