Luca Pascarella

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 55

Top Topics

Software Development

Top Venues

J. Syst. Softw.

Publications

Antonio Mastropaolo, Valentina Ferrari, Luca Pascarella, Gabriele Bavota
Log statements generation via deep learning: Widening the support provided to developers. J. Syst. Softw. 210 (2024)
Jakub Mandula, Jonas Kühne, Luca Pascarella, Michele Magno
Towards Real-Time Fast Unmanned Aerial Vehicle Detection Using Dynamic Vision Sensors. I2MTC (2024)
Jakub Mandula, Jonas Kühne, Luca Pascarella, Michele Magno
Towards Real-Time Fast Unmanned Aerial Vehicle Detection Using Dynamic Vision Sensors. CoRR (2024)
Rafael Kallis, Giuseppe Colavito, Ali Al-Kaswan, Luca Pascarella, Oscar Chaparro, Pooja Rani
The NLBSE'24 Tool Competition. NLBSE@ICSE (2024)
Antonio Mastropaolo, Matteo Ciniselli, Luca Pascarella, Rosalia Tufano, Emad Aghajani, Gabriele Bavota
Towards Summarizing Code Snippets Using Pre-Trained Transformers. ICPC (2024)
Antonio Mastropaolo, Matteo Ciniselli, Luca Pascarella, Rosalia Tufano, Emad Aghajani, Gabriele Bavota
Towards Summarizing Code Snippets Using Pre-Trained Transformers. CoRR (2024)
Antonio Mastropaolo, Luca Pascarella, Emanuela Guglielmi, Matteo Ciniselli, Simone Scalabrino, Rocco Oliveto, Gabriele Bavota
On the Robustness of Code Generation Techniques: An Empirical Study on GitHub Copilot. CoRR (2023)
Antonio Mastropaolo, Emad Aghajani, Luca Pascarella, Gabriele Bavota
Automated variable renaming: are we there yet? Empir. Softw. Eng. 28 (2) (2023)
Rafael Kallis, Maliheh Izadi, Luca Pascarella, Oscar Chaparro, Pooja Rani
The NLBSE'23 Tool Competition. NLBSE@ICSE (2023)
Luca Pascarella, Michele Magno
Grayscale and Event-Based Sensor Fusion for Robust Steering Prediction for Self-Driving Cars. SAS (2023)
Matteo Ciniselli, Luca Pascarella, Emad Aghajani, Simone Scalabrino, Rocco Oliveto, Gabriele Bavota
Source Code Recommender Systems: The Practitioners' Perspective. ICSE (2023)
Dario Amoroso d'Aragona, Luca Pascarella, Andrea Janes, Valentina Lenarduzzi, Rafael Peñaloza, Davide Taibi
On the Empirical Evidence of Microservice Logical Coupling. A Registered Report. CoRR (2023)
Antonio Mastropaolo, Luca Pascarella, Emanuela Guglielmi, Matteo Ciniselli, Simone Scalabrino, Rocco Oliveto, Gabriele Bavota
On the Robustness of Code Generation Techniques: An Empirical Study on GitHub Copilot. ICSE (2023)
Antonio Mastropaolo, Valentina Ferrari, Luca Pascarella, Gabriele Bavota
Log Statements Generation via Deep Learning: Widening the Support Provided to Developers. CoRR (2023)
Dario Amoroso d'Aragona, Luca Pascarella, Andrea Janes, Valentina Lenarduzzi, Rafael Peñaloza, Davide Taibi
Breaks and Code Quality: Investigating the Impact of Forgetting on Software Development. A Registered Report. CoRR (2023)
Rosalia Tufano, Luca Pascarella, Gabriele Bavota
Automating Code-Related Tasks Through Transformers: The Impact of Pre-training. ICSE (2023)
Giovanni Rosa, Luca Pascarella, Simone Scalabrino, Rosalia Tufano, Gabriele Bavota, Michele Lanza, Rocco Oliveto
A comprehensive evaluation of SZZ Variants through a developer-informed oracle. J. Syst. Softw. 202 (2023)
Rosalia Tufano, Luca Pascarella, Gabriele Bavota
Automating Code-Related Tasks Through Transformers: The Impact of Pre-training. CoRR (2023)
Matteo Ciniselli, Luca Pascarella, Emad Aghajani, Simone Scalabrino, Rocco Oliveto, Gabriele Bavota
Source Code Recommender Systems: The Practitioners' Perspective. CoRR (2023)
Dario Amoroso d'Aragona, Luca Pascarella, Andrea Janes, Valentina Lenarduzzi, Davide Taibi
Microservice Logical Coupling: A Preliminary Validation. ICSA-C (2023)
Matteo Ciniselli, Luca Pascarella, Gabriele Bavota
To What Extent do Deep Learning-based Code Recommenders Generate Predictions by Cloning Code from the Training Set? MSR (2022)
Matteo Ciniselli, Luca Pascarella, Gabriele Bavota
To What Extent do Deep Learning-based Code Recommenders Generate Predictions by Cloning Code from the Training Set? CoRR (2022)
Antonio Mastropaolo, Emad Aghajani, Luca Pascarella, Gabriele Bavota
Automated Variable Renaming: Are We There Yet? CoRR (2022)
Matteo Ciniselli, Nathan Cooper, Luca Pascarella, Antonio Mastropaolo, Emad Aghajani, Denys Poshyvanyk, Massimiliano Di Penta, Gabriele Bavota
An Empirical Study on the Usage of Transformer Models for Code Completion. IEEE Trans. Software Eng. 48 (12) (2022)
Rosalia Tufano, Simone Scalabrino, Luca Pascarella, Emad Aghajani, Rocco Oliveto, Gabriele Bavota
Using Reinforcement Learning for Load Testing of Video Games. CoRR (2022)
Rosalia Tufano, Simone Scalabrino, Luca Pascarella, Emad Aghajani, Rocco Oliveto, Gabriele Bavota
Using Reinforcement Learning for Load Testing of Video Games. ICSE (2022)
Antonio Mastropaolo, Luca Pascarella, Gabriele Bavota
Using Deep Learning to Generate Complete Log Statements. ICSE (2022)
Antonio Mastropaolo, Luca Pascarella, Gabriele Bavota
Using Deep Learning to Generate Complete Log Statements. CoRR (2022)
Rosalia Tufano, Simone Masiero, Antonio Mastropaolo, Luca Pascarella, Denys Poshyvanyk, Gabriele Bavota
Using Pre-Trained Models to Boost Code Review Automation. CoRR (2022)
Francesco Lomio, Luca Pascarella, Fabio Palomba, Valentina Lenarduzzi
Regularity or Anomaly? On The Use of Anomaly Detection for Fine-Grained JIT Defect Prediction. SEAA (2022)
Rosalia Tufano, Simone Masiero, Antonio Mastropaolo, Luca Pascarella, Denys Poshyvanyk, Gabriele Bavota
Using Pre-Trained Models to Boost Code Review Automation. ICSE (2022)
Matteo Ciniselli, Nathan Cooper, Luca Pascarella, Denys Poshyvanyk, Massimiliano Di Penta, Gabriele Bavota
An Empirical Study on the Usage of BERT Models for Code Completion. CoRR (2021)
Antonio Mastropaolo, Emad Aghajani, Luca Pascarella, Gabriele Bavota
An Empirical Study on Code Comment Completion. ICSME (2021)
Julian Harty, Haonan Zhang, Lili Wei, Luca Pascarella, Maurício Aniche, Weiyi Shang
Logging Practices with Mobile Analytics: An Empirical Study on Firebase. MOBILESoft@ICSE (2021)
Rosalia Tufano, Luca Pascarella, Michele Tufano, Denys Poshyvanyk, Gabriele Bavota
Towards Automating Code Review Activities. CoRR (2021)
Giovanni Rosa, Luca Pascarella, Simone Scalabrino, Rosalia Tufano, Gabriele Bavota, Michele Lanza, Rocco Oliveto
Evaluating SZZ Implementations Through a Developer-informed Oracle. ICSE (2021)
Matteo Ciniselli, Nathan Cooper, Luca Pascarella, Antonio Mastropaolo, Emad Aghajani, Denys Poshyvanyk, Massimiliano Di Penta, Gabriele Bavota
An Empirical Study on the Usage of Transformer Models for Code Completion. CoRR (2021)
Julian Harty, Haonan Zhang, Lili Wei, Luca Pascarella, Maurício Aniche, Weiyi Shang
Logging Practices with Mobile Analytics: An Empirical Study on Firebase. CoRR (2021)
Matteo Ciniselli, Nathan Cooper, Luca Pascarella, Denys Poshyvanyk, Massimiliano Di Penta, Gabriele Bavota
An Empirical Study on the Usage of BERT Models for Code Completion. MSR (2021)
Rosalia Tufano, Luca Pascarella, Michele Tufano, Denys Poshyvanyk, Gabriele Bavota
Towards Automating Code Review Activities. ICSE (2021)
Giovanni Rosa, Luca Pascarella, Simone Scalabrino, Rosalia Tufano, Gabriele Bavota, Michele Lanza, Rocco Oliveto
Evaluating SZZ Implementations Through a Developer-informed Oracle. CoRR (2021)
Antonio Mastropaolo, Emad Aghajani, Luca Pascarella, Gabriele Bavota
An Empirical Study on Code Comment Completion. CoRR (2021)
Luca Pascarella, Fabio Palomba, Alberto Bacchelli
On the performance of method-level bug prediction: A negative result. J. Syst. Softw. 161 (2020)
Luca Pascarella, Fabio Palomba, Alberto Bacchelli
Fine-grained just-in-time defect prediction. J. Syst. Softw. 150 (2019)
Mariaclaudia Nicolai, Luca Pascarella, Fabio Palomba, Alberto Bacchelli
Healthcare Android apps: a tale of the customers' perspective. WAMA@ESEC/SIGSOFT FSE (2019)
Luca Pascarella, Davide Spadini, Fabio Palomba, Alberto Bacchelli
On The Effect Of Code Review On Code Smells. CoRR (2019)
Luca Pascarella, Magiel Bruntink, Alberto Bacchelli
Classifying code comments in Java software systems. Empir. Softw. Eng. 24 (3) (2019)
Luca Pascarella
Classifying code comments in Java mobile applications. MOBILESoft@ICSE (2018)
Luca Pascarella, Fabio Palomba, Alberto Bacchelli
Re-evaluating method-level bug prediction. SANER (2018)
Franz-Xaver Geiger, Ivano Malavolta, Luca Pascarella, Fabio Palomba, Dario Di Nucci, Alberto Bacchelli
A graph-based dataset of commit history of real-world Android apps. MSR (2018)
Luca Pascarella, Franz-Xaver Geiger, Fabio Palomba, Dario Di Nucci, Ivano Malavolta, Alberto Bacchelli
Self-reported activities of Android developers. MOBILESoft@ICSE (2018)
Luca Pascarella, Davide Spadini, Fabio Palomba, Magiel Bruntink, Alberto Bacchelli
Information Needs in Contemporary Code Review. Proc. ACM Hum. Comput. Interact. 2 (CSCW) (2018)
Luca Pascarella, Achyudh Ram, Azqa Nadeem, Dinesh Bisesser, Norman Knyazev, Alberto Bacchelli
Investigating type declaration mismatches in Python. MaLTeSQuE@SANER (2018)
Luca Pascarella, Fabio Palomba, Massimiliano Di Penta, Alberto Bacchelli
How is video game development different from software development in open source? MSR (2018)
Luca Pascarella, Alberto Bacchelli
Classifying code comments in Java open-source software systems. MSR (2017)