2 papers
cs.LG2025
MetaSel: A Test Selection Approach for Fine-tuned DNN Models
Amin Abbasishahkoo, Mahboubeh Dadkhah, Lionel Briand +1
Deep Neural Networks (DNNs) face challenges during deployment due to covariate shift, i.e., data distribution shifts between development and deployment contexts. Fine-tuning adapts…
cs.SE2024
TEASMA: A Practical Methodology for Test Adequacy Assessment of Deep Neural Networks
Amin Abbasishahkoo, Mahboubeh Dadkhah, Lionel Briand +1
Successful deployment of Deep Neural Networks (DNNs) requires their validation with an adequate test set to ensure a sufficient degree of confidence in test outcomes. Although well…