conf.researchr.org / Luca Pascarella
Registered user since Thu 15 Mar 2018
Name:Luca Pascarella
Country:Switzerland
Affiliation:ETH Zurich
Personal website: https://www.lucapascarella.com/
X (Twitter): https://x.com/LucaPascarella
Research interests:Empirical Software Engineering, Mining Software Repositories, Modern Code Reviews
Contributions
2025
Mining Software Repositories
International Conference on Program Comprehension
2024
ICSME
- PC Member in Program Committee within the Research Track-track
- Author of Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information within the Research Track-track
- Committee Member in Rose Festival & Artifacts Track - Program Committee within the Artifact Evaluation Track and ROSE Festival-track
NLBSE
International Conference on Program Comprehension
Mining Software Repositories
2023
Mining Software Repositories
ICSE
- Author of Automating Code-Related Tasks Through Transformers: The Impact of Pre-training within the Technical Track-track
- Author of Source Code Recommender Systems: The Practitioners' Perspective within the Technical Track-track
- Author of On the Robustness of Code Generation Techniques: An Empirical Study on GitHub Copilot within the Technical Track-track
NLBSE
- Tool Competition Co-chair of Opening & Issue Report Classification Competition within the NLBSE 2023-track
- Author of Code Comment Classification Competition within the NLBSE 2023-track
- Tool Competition Co-chair of Closing within the NLBSE 2023-track
- Tool Competition Co-chair in Organizing Committee within the NLBSE 2023-track
International Conference on Program Comprehension
2022
ICSE
- Author of Using Reinforcement Learning for Load Testing of Video Games within the Technical Track-track
- Author of Using Pre-Trained Models to Boost Code Review Automation within the Technical Track-track
- Author of Using Deep Learning to Generate Complete Log Statements within the Technical Track-track
Mining Software Repositories
- Committee Member in Data Showcase Committee within the Data and Tool Showcase Track-track
- Committee Member in Shadow PC Advisors within the Shadow PC-track
- Author of To What Extent do Deep Learning-based Code Recommenders Generate Predictions by Cloning Code from the Training Set? within the Technical Papers-track
- Committee Member in Data Showcase Committee within the Data and Tool Showcase Track-track
- Committee Member in Program Committee within the Technical Papers-track