| Fine-grained just-in-time defect prediction L Pascarella, F Palomba, A Bacchelli Journal of Systems and Software 150, 22-36, 2019 | 90 | 2019 |
| Classifying code comments in Java open-source software systems L Pascarella, A Bacchelli 2017 IEEE/ACM 14th International Conference on Mining Software Repositories …, 2017 | 74 | 2017 |
| 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 | 73 | 2018 |
| 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 | 60 | 2018 |
| 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 | 55 | 2018 |
| Classifying code comments in Java software systems L Pascarella, M Bruntink, A Bacchelli Empirical Software Engineering 24 (3), 1499-1537, 2019 | 34 | 2019 |
| Re-evaluating method-level bug prediction L Pascarella, F Palomba, A Bacchelli 2018 IEEE 25th International Conference on Software Analysis, Evolution and …, 2018 | 32 | 2018 |
| 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 | 26 | 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 | 22 | 2021 |
| 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 | 14 | 2021 |
| 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 | 14 | 2020 |
| 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 | 12 | 2021 |
| On the effect of code review on code smells L Pascarella, D Spadini, F Palomba, A Bacchelli arXiv preprint arXiv:1912.10098, 2019 | 11 | 2019 |
| 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, 2021 | 9 | 2021 |
| 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 | 9 | 2019 |
| Classifying code comments in Java mobile applications L Pascarella 2018 IEEE/ACM 5th International Conference on Mobile Software Engineering …, 2018 | 8* | 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 | 5 | 2018 |
| To What Extent do Deep Learning-based Code Recommenders Generate Predictions by Cloning Code from the Training Set? M Ciniselli, L Pascarella, G Bavota arXiv preprint arXiv:2204.06894, 2022 | 4 | 2022 |
| 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 | 4 | 2021 |
| Using Pre-Trained Models to Boost Code Review Automation R Tufano, S Masiero, A Mastropaolo, L Pascarella, D Poshyvanyk, ... arXiv preprint arXiv:2201.06850, 2022 | 3 | 2022 |
Alberto BacchelliAssociate Professor, Head of ZEST @ University of ZurichVerified email at ifi.uzh.ch
