| 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 | 118 | 2023 |
| 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 | 105 | 2021 |
| 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 | 79 | 2021 |
| Code review automation: strengths and weaknesses of the state of the art R Tufano, O Dabić, A Mastropaolo, M Ciniselli, G Bavota IEEE Transactions on Software Engineering 50 (2), 338-353, 2024 | 26 | 2024 |
| 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 | 25 | 2022 |
| An empirical study on the usage of BERT models for code completion. In 2021 IEEE/ACM 18th International Conference on Mining Software Repositories (MSR) M Ciniselli, N Cooper, L Pascarella, D Poshyvanyk, M Di Penta, G Bavota IEEE, May, 108-119, 2021 | 21 | 2021 |
| Evaluating code summarization techniques: A new metric and an empirical characterization A Mastropaolo, M Ciniselli, M Di Penta, G Bavota Proceedings of the IEEE/ACM 46th International Conference on Software …, 2024 | 16 | 2024 |
| Source code recommender systems: The practitioners' perspective M Ciniselli, L Pascarella, E Aghajani, S Scalabrino, R Oliveto, G Bavota 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023 | 11 | 2023 |
| An Empirical Study on the Usage of BERT Models for Code Completion. CoRR abs/2103.07115 (2021) M Ciniselli, N Cooper, L Pascarella, D Poshyvanyk, M Di Penta, G Bavota arXiv preprint arXiv:2103.07115, 2021 | 6 | 2021 |
| The Trailer of the ACM 2030 Roadmap for Software Engineering M Pezzè, M Ciniselli, L Di Grazia, N Puccinelli, K Qiu ACM SIGSOFT Software Engineering Notes 49 (4), 31-40, 2024 | 4 | 2024 |
| Towards summarizing code snippets using pre-trained transformers A Mastropaolo, M Ciniselli, L Pascarella, R Tufano, E Aghajani, G Bavota Proceedings of the 32nd IEEE/ACM International Conference on Program …, 2024 | 4 | 2024 |
| On the generalizability of deep learning-based code completion across programming language versions M Ciniselli, A Martin-Lopez, G Bavota Proceedings of the 32nd IEEE/ACM International Conference on Program …, 2024 | 3 | 2024 |
| From Today's Code to Tomorrow's Symphony: The AI Transformation of Developer's Routine by 2030 K Qiu, N Puccinelli, M Ciniselli, L Di Grazia arXiv preprint arXiv:2405.12731, 2024 | 2 | 2024 |
| Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information M Ciniselli, L Pascarella, G Bavota 2024 IEEE International Conference on Software Maintenance and Evolution …, 2024 | | 2024 |
| Studying strengths and weaknesses of code recommenders M Ciniselli | | 2023 |
| Un approccio robusto per il problema dell'assegnamento ottimale dei pazienti agli operatori nei servizi di assistenza domiciliare M CINISELLI Politecnico di Milano, 2013 | | 2013 |
| 2024 IEEE International Conference on Software Maintenance and Evolution (ICSME)| 979-8-3503-9568-6/24/$31.00© 2024 IEEE| DOI: 10.1109/ICSME58944. 2024.00102 R Abdalkareem, O Abdelaziz, AS Abdelfattah, MS Abid, D Abrahamyan, ... | | |
| 2021 IEEE/ACM 18th International Conference on Mining Software Repositories (MSR)| 978-1-7281-8710-5/20/$31.00© 2021 IEEE| DOI: 10.1109/MSR52588. 2021.00090 R Abdalkareem, S Afroz, D Aggarwal, E Aghajani, V Agrahari, ... | | |
