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arXiv · 2306.15369

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
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Abstract

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.

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Ch Muhammad Awais, Wei Gu, Gcinizwe Dlamini, Zamira Kholmatova, Giancarlo Succi. 2023-06-27. A Meta-analytical Comparison of Naive Bayes and Random Forest for Software Defect Prediction. https://doi.org/10.1007/978-3-031-35501-1_14

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