7 citations · 12 across the 5 of their papers we have counts for
5 papers
Automatically Generating Dockerfiles via Deep Learning: Challenges and Promises
Giovanni Rosa, Antonio Mastropaolo, Simone Scalabrino +2
Containerization allows developers to define the execution environment in which their software needs to be installed. Docker is the leading platform in this field, and developers t…
Source Code Recommender Systems: The Practitioners' Perspective
Matteo Ciniselli, Luca Pascarella, Emad Aghajani +3
The automatic generation of source code is one of the long-lasting dreams in software engineering research. Several techniques have been proposed to speed up the writing of new cod…
Automating Code-Related Tasks Through Transformers: The Impact of Pre-training
Rosalia Tufano, Luca Pascarella, Gabriele Bavota
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 pr…
On the Robustness of Code Generation Techniques: An Empirical Study on GitHub Copilot
Antonio Mastropaolo, Luca Pascarella, Emanuela Guglielmi +4
Software engineering research has always being concerned with the improvement of code completion approaches, which suggest the next tokens a developer will likely type while coding…
Don't Reinvent the Wheel: Towards Automatic Replacement of Custom Implementations with APIs
Rosalia Tufano, Emad Aghajani, Gabriele Bavota
Reusing code is a common practice in software development: It helps developers speedup the implementation task while also reducing the chances of introducing bugs, given the assump…