Recently, we can notice a transition to data-driven techniques in Automated Program Repair
(APR), in particular towards deep neural networks. This entails training on hundreds of …

Software refactoring focuses on improving software quality by applying changes to the
internal structure that do not alter the observable behavior. Determining which refactorings …

Efficiency is essential to support responsiveness wrt ever-growing datasets, especially for
Deep Learning (DL) systems. DL frameworks have traditionally embraced deferred …

Machine learning (ML) classification techniques from various libraries have been widely
introduced into software engineering (SE) to mine instructive insights, which help …

Data originating from open-source software projects provide valuable information to
enhance software quality. In the scope of Software Defect Prediction, one of the most …

However, large-scale hosting services for code, such as GitHub or SourceForge, offer a
glimpse into the lifecycles of software. Not only do they host the sources for millions of …