Luca Pascarella
Università della Svizzera Italiana
H-index: 18
Europe-Switzerland
Top articles of Luca Pascarella
Log statements generation via deep learning: Widening the support provided to developers
Journal of Systems and Software
2024/4/1
Towards Real-Time Fast Unmanned Aerial Vehicle Detection Using Dynamic Vision Sensors
arXiv preprint arXiv:2403.11875
2024/3/18
Luca Pascarella
H-Index: 8
Towards Summarizing Code Snippets Using Pre-Trained Transformers
arXiv preprint arXiv:2402.00519
2024/2/1
On the robustness of code generation techniques: An empirical study on github copilot
2023/5/14
Breaks and Code Quality: Investigating the Impact of Forgetting on Software Development. A Registered Report
arXiv e-prints
2023/5
Luca Pascarella
H-Index: 8
Andrea Janes
H-Index: 16
Microservice logical coupling: A preliminary validation
2023/3/13
Luca Pascarella
H-Index: 8
Andrea Janes
H-Index: 16
Automated variable renaming: are we there yet?
2023/3
Antonio Mastropaolo
H-Index: 2
Emad Aghajani
H-Index: 5
Luca Pascarella
H-Index: 8
Gabriele Bavota
H-Index: 47
A comprehensive evaluation of szz variants through a developer-informed oracle
Journal of Systems and Software
2023/8/1
Grayscale and Event-Based Sensor Fusion for Robust Steering Prediction for Self-Driving Cars
2023/7/18
Luca Pascarella
H-Index: 8
On the empirical evidence of microservice logical coupling. a registered report
arXiv preprint arXiv:2306.02036
2023/6/3
Luca Pascarella
H-Index: 8
Andrea Janes
H-Index: 16
Automating code-related tasks through transformers: The impact of pre-training
2023/5/14
Luca Pascarella
H-Index: 8
Gabriele Bavota
H-Index: 47
Source code recommender systems: The practitioners' perspective
2023/5/14
To what extent do deep learning-based code recommenders generate predictions by cloning code from the training set?
2022/5/23
Using reinforcement learning for load testing of video games
2022/5/21
Using pre-trained models to boost code review automation
2022/5/21
Using deep learning to generate complete log statements
2022/5/21
Regularity or anomaly? on the use of anomaly detection for fine-grained just-in-time defect prediction
30th IEEE/ACM International Conference on Program Comprehension (ICPC 2022)
2022
Luca Pascarella
H-Index: 8
Fabio Palomba
H-Index: 36
An empirical study on the usage of transformer models for code completion
IEEE Transactions on Software Engineering
2021/11/16
An empirical study on code comment completion
2021/9/27
Antonio Mastropaolo
H-Index: 2
Emad Aghajani
H-Index: 5
Luca Pascarella
H-Index: 8
Gabriele Bavota
H-Index: 47
Co-Authors
