5 papers
Deep Learning-based Code Reviews: A Paradigm Shift or a Double-Edged Sword?
Rosalia Tufano, Alberto Martin-Lopez, Ahmad Tayeb +3
Several techniques have been proposed to automate code review. Early support consisted in recommending the most suited reviewer for a given change or in prioritizing the review tas…
SEART Data Hub: Streamlining Large-Scale Source Code Mining and Pre-Processing
Ozren Dabić, Rosalia Tufano, Gabriele Bavota
Large-scale code datasets have acquired an increasingly central role in software engineering (SE) research. This is the result of (i) the success of the mining software repositorie…
Unveiling ChatGPT's Usage in Open Source Projects: A Mining-based Study
Rosalia Tufano, Antonio Mastropaolo, Federica Pepe +3
Large Language Models (LLMs) have gained significant attention in the software engineering community. Nowadays developers have the possibility to exploit these models through indus…
Code Review Automation: Strengths and Weaknesses of the State of the Art
Rosalia Tufano, Ozren Dabić, Antonio Mastropaolo +2
The automation of code review has been tackled by several researchers with the goal of reducing its cost. The adoption of deep learning in software engineering pushed the automatio…
Sampling Projects in GitHub for MSR Studies
Ozren Dabic, Emad Aghajani, Gabriele Bavota
Almost every Mining Software Repositories (MSR) study requires, as first step, the selection of the subject software repositories. These repositories are usually collected from hos…