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.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.