Test Case Selection for Deep Neural Networks: A Replication Study on LLMs for Code (Replicability Study)
Test case selection (TCS) techniques have been explored to support the operational evaluation of deep neural networks (DNNs) under limited testing budgets, where labeling cost is a primary concern and early model failure detection is a key objective. Although prior studies report promising results, existing empirical e...