Fine-grained just-in-time defect prediction L Pascarella, F Palomba, A Bacchelli Journal of Systems and Software 150, 22-36, 2019 | 144 | 2019 |
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 | 128 | 2018 |
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 | 118* | 2021 |
Classifying code comments in Java open-source software systems L Pascarella, A Bacchelli 2017 IEEE/ACM 14th International Conference on Mining Software Repositories …, 2017 | 110 | 2017 |
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 | 106 | 2022 |
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 | 87 | 2018 |
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 | 78 | 2021 |
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 | 74 | 2021 |
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 | 72 | 2018 |
On the robustness of code generation techniques: An empirical study on github copilot A Mastropaolo, L Pascarella, E Guglielmi, M Ciniselli, S Scalabrino, ... 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023 | 66 | 2023 |
Classifying code comments in Java software systems L Pascarella, M Bruntink, A Bacchelli Empirical Software Engineering 24 (3), 1499-1537, 2019 | 54 | 2019 |
Using deep learning to generate complete log statements A Mastropaolo, L Pascarella, G Bavota Proceedings of the 44th International Conference on Software Engineering …, 2022 | 43 | 2022 |
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 | 43 | 2021 |
Re-evaluating method-level bug prediction L Pascarella, F Palomba, A Bacchelli 2018 IEEE 25th international conference on software analysis, evolution and …, 2018 | 40 | 2018 |
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 | 32 | 2020 |
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 | 27 | 2018 |
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 | 22 | 2021 |
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 | 21 | 2022 |
Using reinforcement learning for load testing of video games R Tufano, S Scalabrino, L Pascarella, E Aghajani, R Oliveto, G Bavota Proceedings of the 44th International Conference on Software Engineering …, 2022 | 21 | 2022 |
On the effect of code review on code smells L Pascarella, D Spadini, F Palomba, A Bacchelli arXiv preprint arXiv:1912.10098, 2019 | 21 | 2019 |