Change-level Features for Just-In-Time Defect Prediction Enhanced by Feature Selection Methods
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https://ieee-dataport.org/documents/change-level-features-just-time-defect-prediction-enhanced-feature-selection-methods
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资源简介：
This dataset consists of train and test sets collected to be used for JIT defect prediction. It consists of 52 commit-level features that can be divided into 14 features obtained from ApacheJIT dataset (https:\/\/zenodo.org\/records\/5907002) and 38 features collected using PyDriller, and Github API for 12 Apache open source projects. The target column in this dataset is buggy. The practitioners can use this dataset to compare the performance of classifiers for JIT defect prediction.
提供机构：
Firas Jolha; Giancarlo Succi
