![]() ![]() 2.1 Software Defect Prediction TechniquesĢ.1.1 Program Execution Information-basedĢ.1.2 Static Code Properties-based TechniqueĤ.2.1 The Conventional Learner, Naive BayesĤ.2.2 Regression-based Method, Logistic RegressionĤ.4 Experiment of RCForest with Conventional Learnersĥ.2 Random Sampling with Conventional Learnersĥ.3 Random Sampling with Semi-supervised Learnersįigure 3: Spectrum-based Fault Localization in a nutshellįigure 4: Log-log plot of module sizes with LOCįigure 6: Comparison of F-measures with the classifier of conventional learners and semi-supervised learnersįigure 7: The box-plot of the F-measures for JW1 datasets with different sampling rateįigure 8: The box-plot of the F-measures for MW1 datasets with different sampling rateįigure 9: The box-plot of the F-measures for KC2 datasets with different sampling rateįigure 10: The box-plot of the F-measures for PC4 datasets with different sampling rateįigure 11: The box-plot of the F-measures for PC1 datasets with different sampling rateįigure 12: The box-plot of the F-measures for PC3 datasets with different sampling rateįigure 13: The box-plot of the F-measures for PC5 datasets with different sampling rate List of Tables
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