Just-in-time defect prediction for mobile applications: using shallow or deep learning?

Just-in-time defect prediction for mobile applications: using shallow or deep learning?

<p dir="ltr">Just-in-time defect prediction (JITDP) research is increasingly focused on program changes instead of complete program modules within the context of continuous integration and continuous testing paradigm. Traditional machine learning-based defect prediction models have b...

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Bibliographic Details
Main Author: Raymon van Dinter (10521952) (author)
Other Authors: Cagatay Catal (6897842) (author), Görkem Giray (5291287) (author), Bedir Tekinerdogan (6897839) (author)
Published: 2023
Subjects:
Information and computing sciences
Machine learning
Software engineering
Just-in-time defect prediction
Shallow learning
XGBoost
Deep learning
Imbalanced learning
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