| Graphcodebert: Pre-training code representations with data flow D Guo, S Ren, S Lu, Z Feng, D Tang, S Liu, L Zhou, N Duan, ... arXiv preprint arXiv:2009.08366, 2020 | 1085 | 2020 |
| Codexglue: A machine learning benchmark dataset for code understanding and generation S Lu, D Guo, S Ren, J Huang, A Svyatkovskiy, A Blanco, C Clement, ... arXiv preprint arXiv:2102.04664, 2021 | 896 | 2021 |
| Deep learning code fragments for code clone detection M White, M Tufano, C Vendome, D Poshyvanyk Proceedings of the 31st IEEE/ACM international conference on automated …, 2016 | 775 | 2016 |
| SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair Z Chen, S Kommrusch, M Tufano, LN Pouchet, D Poshyvanyk, ... IEEE Transactions on Software Engineering 47 (9), 1943-1959, 2019 | 554 | 2019 |
| 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 | 411 | 2019 |
| When and why your code starts to smell bad M Tufano, F Palomba, G Bavota, R Oliveto, M Di Penta, A De Lucia, ... 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering 1 …, 2015 | 404 | 2015 |
| When and why your code starts to smell bad (and whether the smells go away) M Tufano, F Palomba, G Bavota, R Oliveto, M Di Penta, A De Lucia, ... IEEE Transactions on Software Engineering 43 (11), 1063-1088, 2017 | 285 | 2017 |
| 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 | 275 | 2019 |
| Sorting and transforming program repair ingredients via deep learning code similarities M White, M Tufano, M Martinez, M Monperrus, D Poshyvanyk 2019 IEEE 26th international conference on software analysis, evolution and …, 2019 | 220 | 2019 |
| An empirical investigation into the nature of test smells M Tufano, F Palomba, G Bavota, M Di Penta, R Oliveto, A De Lucia, ... Proceedings of the 31st IEEE/ACM international conference on automated …, 2016 | 191 | 2016 |
| 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 | 189 | 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 | 176 | 2018 |
| Inferfix: End-to-end program repair with llms M Jin, S Shahriar, M Tufano, X Shi, S Lu, N Sundaresan, A Svyatkovskiy Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023 | 175 | 2023 |
| 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 | 170 | 2020 |
| 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 | 137 | 2021 |
| There and back again: Can you compile that snapshot? M Tufano, F Palomba, G Bavota, M Di Penta, R Oliveto, A De Lucia, ... Journal of Software: Evolution and Process 29 (4), e1838, 2017 | 124 | 2017 |
| Enabling mutation testing for android apps M Linares-Vásquez, G Bavota, M Tufano, K Moran, M Di Penta, ... Proceedings of the 2017 11th Joint Meeting on Foundations of Software …, 2017 | 107 | 2017 |
| 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 | 90 | 2019 |
| Landfill: An open dataset of code smells with public evaluation F Palomba, D Di Nucci, M Tufano, G Bavota, R Oliveto, D Poshyvanyk, ... 2015 IEEE/ACM 12th Working Conference on Mining Software Repositories, 482-485, 2015 | 85 | 2015 |
| Unit test case generation with transformers and focal context M Tufano, D Drain, A Svyatkovskiy, SK Deng, N Sundaresan arXiv preprint arXiv:2009.05617, 2020 | 75 | 2020 |
Denys PoshyvanykChancellor Professor of Computer Science, William & Marycs.wm.edu üzerinde doğrulanmış e-posta adresine sahip