Awesome AI for Code
📄
Papers
🧭
Topics
🔥
Trending
🗺️
Map
🏆
Leaderboards
🎓
Learn
🤖
Ask AI
⋯
More
👥
Authors
📚
Reading Packs
📊
Datasets
🛠️
Tools
📰
News
📝
Blogs
✉️
Newsletter
🎯
Research Radar
🔖
Saved
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
🤖
Ask AI
Luca Pascarella — most-cited papers & profile · AI for Code
← authors
·
overview
Luca Pascarella
8
papers ·
422
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Using Pre-Trained Models to Boost Code Review Automation
2022 · 146 citations
On the Robustness of Code Generation Techniques: An Empirical Study on GitHub Copilot
2023 · 115 citations
Using Deep Learning to Generate Complete Log Statements
2022 · 60 citations
Evaluating SZZ Implementations Through a Developer-informed Oracle
2021 · 42 citations
To What Extent do Deep Learning-based Code Recommenders Generate Predictions by Cloning Code from the Training Set?
2022 · 28 citations
An Empirical Study on Code Comment Completion
2021 · 16 citations
Automating Code-Related Tasks Through Transformers: The Impact of Pre-training
2023 · 15 citations
Automated Variable Renaming: Are We There Yet?
2022
Top co-authors
Gabriele Bavota
· 8
Antonio Mastropaolo
· 5
Rosalia Tufano
· 3
Emad Aghajani
· 2
Matteo Ciniselli
· 2
Rocco Oliveto
· 2
Simone Scalabrino
· 2
Denys Poshyvanyk
· 1
Emanuela Guglielmi
· 1
Giovanni Rosa
· 1
Michele Lanza
· 1
Simone Masiero
· 1
Topics
Software Engineering
Code Generation
Code Understanding
Code Models
Program Repair
Bug Detection
Testing
Survey Paper