| An empirical study on learning bug-fixing patches in the wild via neural machine translation M Tufano, C Watson, G Bavota, MD Penta, M White, D Poshyvanyk ACM Transactions on Software Engineering and Methodology (TOSEM) 28 (4), 1-29, 2019 | 382 | 2019 |
| On learning meaningful code changes via neural machine translation M Tufano, J Pantiuchina, C Watson, G Bavota, D Poshyvanyk 2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE …, 2019 | 258 | 2019 |
| Deep learning similarities from different representations of source code M Tufano, C Watson, G Bavota, M Di Penta, M White, D Poshyvanyk Proceedings of the 15th international conference on mining software …, 2018 | 185 | 2018 |
| An empirical investigation into learning bug-fixing patches in the wild via neural machine translation M Tufano, C Watson, G Bavota, M Di Penta, M White, D Poshyvanyk Proceedings of the 33rd ACM/IEEE International Conference on Automated …, 2018 | 170 | 2018 |
| On learning meaningful assert statements for unit test cases C Watson, M Tufano, K Moran, G Bavota, D Poshyvanyk Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020 | 151 | 2020 |
| A systematic literature review on the use of deep learning in software engineering research C Watson, N Cooper, DN Palacio, K Moran, D Poshyvanyk ACM Transactions on Software Engineering and Methodology (TOSEM) 31 (2), 1-58, 2022 | 121 | 2022 |
| Learning how to mutate source code from bug-fixes M Tufano, C Watson, G Bavota, M Di Penta, M White, D Poshyvanyk 2019 IEEE International conference on software maintenance and evolution …, 2019 | 81 | 2019 |
| Detecting and summarizing GUI changes in evolving mobile apps K Moran, C Watson, J Hoskins, G Purnell, D Poshyvanyk Proceedings of the 33rd ACM/IEEE international conference on automated …, 2018 | 55 | 2018 |
| Deepmutation: A neural mutation tool M Tufano, J Kimko, S Wang, C Watson, G Bavota, M Di Penta, ... Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020 | 24 | 2020 |
| Deep learning similarities from different representations of source code. In 2018 IEEE/ACM 15th International Conference on Mining Software Repositories (MSR) M Tufano, C Watson, G Bavota, M Di Penta, M White, D Poshyvanyk IEEE, 542¶553, 2018 | 20 | 2018 |
| Deep learning in software engineering CA Watson The College of William and Mary, 2020 | 5 | 2020 |
| MSR 2017 A Rahman, A Swidan, A Meyer, B Li, B Aloraini, CG Gavidia, C Theisen, ... | 5 | |
| Additional Reviewers MSR 2019 A Parsai, A Brito, A Hora, A Di Sorbo, B van Bladel, CB Cardenas, ... | | |
