Predicting defective software modules before testing is a useful operation that ensures that the time and cost of software testing can be reduced. In recent years, several models have been proposed ...

Transfer learning is a critical technique in training deep neural networks to tackle downstream tasks with better or faster solutions, by leveraging previously acquired knowledge. This is especially ...