Luca Pascarella
Luca Pascarella
Verified email at usi.ch - Homepage
Title
Cited by
Cited by
Year
Classifying code comments in Java open-source software systems
L Pascarella, A Bacchelli
2017 IEEE/ACM 14th International Conference on Mining Software Repositories …, 2017
572017
Fine-grained just-in-time defect prediction
L Pascarella, F Palomba, A Bacchelli
Journal of Systems and Software 150, 22-36, 2019
492019
How is video game development different from software development in open source?
L Pascarella, F Palomba, M Di Penta, A Bacchelli
2018 IEEE/ACM 15th International Conference on Mining Software Repositories …, 2018
472018
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
402018
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
382018
Self-reported activities of android developers
L Pascarella, FX Geiger, F Palomba, D Di Nucci, I Malavolta, A Bacchelli
2018 IEEE/ACM 5th International Conference on Mobile Software Engineering …, 2018
242018
Re-evaluating method-level bug prediction
L Pascarella, F Palomba, A Bacchelli
2018 IEEE 25th International Conference on Software Analysis, Evolution and …, 2018
23*2018
Classifying code comments in Java software systems
L Pascarella, M Bruntink, A Bacchelli
Empirical Software Engineering 24 (3), 1499-1537, 2019
202019
On the effect of code review on code smells
L Pascarella, D Spadini, F Palomba, A Bacchelli
arXiv preprint arXiv:1912.10098, 2019
72019
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
62019
Towards Automating Code Review Activities
R Tufan, L Pascarella, M Tufanoy, D Poshyvanykz, G Bavota
2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021
42021
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
arXiv preprint arXiv:2103.07115, 2021
42021
Classifying code comments in Java mobile applications
L Pascarella
2018 IEEE/ACM 5th International Conference on Mobile Software Engineering …, 2018
4*2018
Investigating type declaration mismatches in Python
L Pascarella, A Ram, A Nadeem, D Bisesser, N Knyazev, A Bacchelli
2018 IEEE Workshop on Machine Learning Techniques for Software Quality …, 2018
42018
Logging Practices with Mobile Analytics: An Empirical Study on Firebase
J Harty, H Zhang, L Wei, L Pascarella, M Aniche, W Shang
arXiv preprint arXiv:2104.02513, 2021
32021
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
32020
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
22021
An Empirical Study on the Usage of Transformer Models for Code Completion
M Ciniselli, N Cooper, L Pascarella, A Mastropaolo, E Aghajani, ...
arXiv preprint arXiv:2108.01585, 2021
2021
An Empirical Study on Code Comment Completion
A Mastropaolo, E Aghajani, L Pascarella, G Bavota
arXiv preprint arXiv:2107.10544, 2021
2021
Augmented Fine-Grained Defect Prediction for Code Review.
L Pascarella
Delft University of Technology, Netherlands, 2020
2020
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