An empirical study characterizing training-dynamics patterns in MLP-based software defect predictors under coupled class imbalance and overlap conditions via controlled interventions on UBD datasets.
Towards understanding the impact of data bugs on deep learning models in software engineering,
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Training Dynamics of Neural Software Defect Predictors under Coupled Data-Quality Issues
An empirical study characterizing training-dynamics patterns in MLP-based software defect predictors under coupled class imbalance and overlap conditions via controlled interventions on UBD datasets.