Assessing software defection prediction performance

Jingxiu Yao, Martin Shepperd · 2020

Context: There is considerable diversity in the range and design of computational experiments to assess classifiers for software defect prediction. This is particularly so, regarding the choice of classifier performance metrics. Unfortunately some widely used metrics are known to be biased, in particular F1.

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