Rosalia Tufano

Evaluating SZZ Implementations Through a Developer-informed Oracle

2021 · arXiv (Cornell University)

The SZZ algorithm for identifying bug-inducing changes has been widely used to evaluate defect prediction techniques and to empirically investigate when, how, and by whom bugs are introduced. Over the years, researchers have proposed several …

Automating Code-Related Tasks Through Transformers: The Impact of Pre-training

2023 · arXiv (Cornell University)

Transformers have gained popularity in the software engineering (SE) literature. These deep learning models are usually pre-trained through a self-supervised objective, meant to provide the model with basic knowledge about a language of interest (e.g., …