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sillywalk / defect-prediction

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RQ2: How are defect prediction on commit level of human lable data based on Fastread labeled data vs Keyword labeled data? #16

Closed HuyTu7 closed 5 years ago

HuyTu7 commented 5 years ago

selection_020

Both hedges and cohen test have shown that for defect prediction on commit level of human labeled data FFT+SMOTE learned on Fastread labeling data had performed better than on keyword labeling data.

HuyTu7 commented 5 years ago

effective labeling on classifications! RQ1 + RQ2: assessing label choices in commit guru RQ3 + RQ4: assessing learner choices in commit guru