Just-in-time vulnerability prediction models that look strong on balanced datasets perform near-randomly on realistic, imbalanced commit streams.
Revisiting the vccfinder approach for the identification of vulnerability- contributing commits,
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Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction
Just-in-time vulnerability prediction models that look strong on balanced datasets perform near-randomly on realistic, imbalanced commit streams.