Follow
Luca Pascarella
Title
Cited by
Cited by
Year
Fine-grained just-in-time defect prediction
L Pascarella, F Palomba, A Bacchelli
Journal of Systems and Software 150, 22-36, 2019
1092019
Information needs in contemporary code review
L Pascarella, D Spadini, F Palomba, M Bruntink, A Bacchelli
Proceedings of the ACM on Human-Computer Interaction 2 (CSCW), 1-27, 2018
892018
Classifying code comments in Java open-source software systems
L Pascarella, A Bacchelli
2017 IEEE/ACM 14th International Conference on Mining Software Repositories …, 2017
852017
How is video game development different from software development in open source?
L Pascarella, F Palomba, M Di Penta, A Bacchelli
Proceedings of the 15th International Conference on Mining Software …, 2018
682018
A graph-based dataset of commit history of real-world android apps
FX Geiger, I Malavolta, L Pascarella, F Palomba, D Di Nucci, A Bacchelli
Proceedings of the 15th international conference on mining software …, 2018
602018
Towards automating code review activities
R Tufano, L Pascarella, M Tufano, D Poshyvanyk, G Bavota
2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021
47*2021
Classifying code comments in Java software systems
L Pascarella, M Bruntink, A Bacchelli
Empirical Software Engineering 24 (3), 1499-1537, 2019
402019
An empirical study on the usage of BERT models for code completion
M Ciniselli, N Cooper, L Pascarella, D Poshyvanyk, M Di Penta, G Bavota
2021 IEEE/ACM 18th International Conference on Mining Software Repositories …, 2021
362021
Re-evaluating method-level bug prediction
L Pascarella, F Palomba, A Bacchelli
2018 IEEE 25th international conference on software analysis, evolution and …, 2018
352018
Self-reported activities of android developers
L Pascarella, FX Geiger, F Palomba, D Di Nucci, I Malavolta, A Bacchelli
Proceedings of the 5th International Conference on Mobile Software …, 2018
272018
Evaluating szz implementations through a developer-informed oracle
G Rosa, L Pascarella, S Scalabrino, R Tufano, G Bavota, M Lanza, ...
2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021
252021
An empirical study on the usage of transformer models for code completion
M Ciniselli, N Cooper, L Pascarella, A Mastropaolo, E Aghajani, ...
IEEE Transactions on Software Engineering 48 (12), 4818-4837, 2021
232021
Using pre-trained models to boost code review automation
R Tufano, S Masiero, A Mastropaolo, L Pascarella, D Poshyvanyk, ...
Proceedings of the 44th International Conference on Software Engineering …, 2022
222022
On the performance of method-level bug prediction: A negative result
L Pascarella, F Palomba, A Bacchelli
Journal of Systems and Software 161, 110493, 2020
202020
On the effect of code review on code smells
L Pascarella, D Spadini, F Palomba, A Bacchelli
arXiv preprint arXiv:1912.10098, 2019
132019
Healthcare Android apps: A tale of the customers¢ perspective
M Nicolai, L Pascarella, F Palomba, A Bacchelli
Proceedings of the 3rd ACM SIGSOFT International Workshop on App Market …, 2019
132019
Logging practices with mobile analytics: An empirical study on firebase
J Harty, H Zhang, L Wei, L Pascarella, M Aniche, W Shang
2021 IEEE/ACM 8th International Conference on Mobile Software Engineering …, 2021
112021
Classifying code comments in Java mobile applications
L Pascarella
Proceedings of the 5th International Conference on Mobile Software …, 2018
92018
An empirical study on code comment completion
A Mastropaolo, E Aghajani, L Pascarella, G Bavota
2021 IEEE International Conference on Software Maintenance and Evolution …, 2021
82021
To what extent do deep learning-based code recommenders generate predictions by cloning code from the training set?
M Ciniselli, L Pascarella, G Bavota
Proceedings of the 19th International Conference on Mining Software …, 2022
72022
The system can't perform the operation now. Try again later.
Articles 1–20