Studying the usage of text-to-text transfer transformer to support code-related tasks A Mastropaolo, S Scalabrino, N Cooper, DN Palacio, D Poshyvanyk, ... 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021 | 186 | 2021 |
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 | 87 | 2022 |
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 | 61 | 2021 |
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 | 48 | 2023 |
Using transfer learning for code-related tasks A Mastropaolo, N Cooper, DN Palacio, S Scalabrino, D Poshyvanyk, ... IEEE Transactions on Software Engineering 49 (4), 1580-1598, 2022 | 44 | 2022 |
Using deep learning to generate complete log statements A Mastropaolo, L Pascarella, G Bavota Proceedings of the 44th International Conference on Software Engineering …, 2022 | 37 | 2022 |
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 | 16 | 2021 |
Automated variable renaming: are we there yet? A Mastropaolo, E Aghajani, L Pascarella, G Bavota Empirical Software Engineering 28 (2), 45, 2023 | 6 | 2023 |
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, 2024 | 4 | 2024 |
An adaptive search budget allocation approach for search-based test case generation S Scalabrino, A Mastropaolo, G Bavota, R Oliveto ACM Transactions on Software Engineering and Methodology (TOSEM) 30 (3), 1-26, 2021 | 4 | 2021 |
Towards Automatically Addressing Self-Admitted Technical Debt: How Far Are We? A Mastropaolo, M Di Penta, G Bavota 2023 38th IEEE/ACM International Conference on Automated Software …, 2023 | 2 | 2023 |
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 | 1 | 2024 |
How the Training Procedure Impacts the Performance of Deep Learning-based Vulnerability Patching A Mastropaolo, V Nardone, G Bavota, M Di Penta arXiv preprint arXiv:2404.17896, 2024 | | 2024 |
Log statements generation via deep learning: Widening the support provided to developers A Mastropaolo, V Ferrari, L Pascarella, G Bavota Journal of Systems and Software 210, 111947, 2024 | | 2024 |
Unveiling ChatGPT's Usage in Open Source Projects: A Mining-based Study R Tufano, A Mastropaolo, F Pepe, O Dabić, M Di Penta, G Bavota arXiv preprint arXiv:2402.16480, 2024 | | 2024 |
Towards Summarizing Code Snippets Using Pre-Trained Transformers A Mastropaolo, M Ciniselli, L Pascarella, R Tufano, E Aghajani, G Bavota arXiv preprint arXiv:2402.00519, 2024 | | 2024 |
How do Hugging Face Models Document Datasets, Bias, and Licenses? An Empirical Study F Pepe, V Nardone, A Mastropaolo, G Canfora, G Bavota, M Di Penta | | 2024 |
Toward Automatically Completing GitHub Workflows A Mastropaolo, F Zampetti, M Di Penta, G Bavota 2024 IEEE/ACM 46th International Conference on Software Engineering (ICSE …, 2023 | | 2023 |
Automatically Generating Dockerfiles via Deep Learning: Challenges and Promises G Rosa, A Mastropaolo, S Scalabrino, G Bavota, R Oliveto 2023 IEEE/ACM International Conference on Software and System Processes …, 2023 | | 2023 |