| When deep learning met code search J Cambronero, H Li, S Kim, K Sen, S Chandra Proceedings of the 2019 27th ACM Joint Meeting on European Software …, 2019 | 238 | 2019 |
| Retrieval on source code: a neural code search S Sachdev, H Li, S Luan, S Kim, K Sen, S Chandra Proceedings of the 2nd ACM SIGPLAN International Workshop on Machine …, 2018 | 196 | 2018 |
| Code prediction by feeding trees to transformers S Kim, J Zhao, Y Tian, S Chandra 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021 | 182 | 2021 |
| Simple methods to estimate the influence of limestone fillers on reaction and property evolution in cementitious materials A Kumar, T Oey, S Kim, D Thomas, S Badran, J Li, F Fernandes, ... Cement and Concrete Composites 42, 20-29, 2013 | 135 | 2013 |
| Neural query expansion for code search J Liu, S Kim, V Murali, S Chaudhuri, S Chandra Proceedings of the 3rd acm sigplan international workshop on machine …, 2019 | 41 | 2019 |
| Neural code search evaluation dataset H Li, S Kim, S Chandra arXiv preprint arXiv:1908.09804, 2019 | 31 | 2019 |
| Learning autocompletion from real-world datasets GA Aye, S Kim, H Li 2021 IEEE/ACM 43rd International Conference on Software Engineering …, 2021 | 29 | 2021 |
| Explaining mispredictions of machine learning models using rule induction J Cito, I Dillig, S Kim, V Murali, S Chandra Proceedings of the 29th ACM joint meeting on European software engineering …, 2021 | 23 | 2021 |
| AI in software engineering at Facebook J Bader, SS Kim, FS Luan, S Chandra, E Meijer IEEE Software 38 (4), 52-61, 2021 | 10 | 2021 |
| 2021 IEEE/ACM 43rd International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP)| 978-1-6654-3869-8/20/$31.00© 2021 IEEE| DOI: 10.1109/ICSE … N Abburu, J Ahlgren, H Ahn, Y Ahn, D Åkerman, A Akimov, EA AlOmar, ... | | |
| ICSE-SEIP 2021 G Lim, MJ Ham, C Weir, I Becker | | |
