| A Survey on Large Language Models for Code Generation J Jiang, F Wang, J Shen, S Kim, S Kim arXiv preprint arXiv:2406.00515, 2024 | 64 | 2024 |
| Supply-chain vulnerability elimination via active learning and regeneration N Vasilakis, A Benetopoulos, S Handa, A Schoen, J Shen, MC Rinard Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications …, 2021 | 27 | 2021 |
| Using active learning to synthesize models of applications that access databases J Shen, MC Rinard Proceedings of the 40th ACM SIGPLAN Conference on Programming Language …, 2019 | 24 | 2019 |
| Characterizing developer use of automatically generated patches JP Cambronero, J Shen, J Cito, E Glassman, M Rinard 2019 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC …, 2019 | 16 | 2019 |
| Active learning for software engineering JP Cambronero, THY Dang, N Vasilakis, J Shen, J Wu, MC Rinard Proceedings of the 2019 ACM SIGPLAN International Symposium on New Ideas …, 2019 | 14 | 2019 |
| Active learning for inference and regeneration of computer programs that store and retrieve data MC Rinard, J Shen, V Mangalick Proceedings of the 2018 ACM SIGPLAN International Symposium on New Ideas …, 2018 | 11* | 2018 |
| Active learning for inference and regeneration of applications that access databases J Shen, MC Rinard ACM Transactions on Programming Languages and Systems (TOPLAS) 42 (4), 1-119, 2021 | 10 | 2021 |
| Automatic synthesis of parallel unix commands and pipelines with kumquat. corr abs/2012.15443 (2021) J Shen, M Rinard, N Vasilakis arXiv preprint arXiv:2012.15443, 2021 | 10* | 2021 |
| Robust programs with filtered iterators J Shen, M Rinard Proceedings of the 10th ACM SIGPLAN International Conference on Software …, 2017 | 9* | 2017 |
| Using dynamic monitoring to synthesize models of applications that access databases J Shen, M Rinard | 4 | 2018 |
| Automatic synthesis of parallel unix commands and pipelines with KumQuat J Shen, M Rinard, N Vasilakis Proceedings of the 27th ACM SIGPLAN Symposium on Principles and Practice of …, 2022 | 3 | 2022 |
| Inference and Regeneration of Programs that Manipulate Relational Databases J Shen, M Rinard | 3 | 2017 |
| Active Loop Detection for Applications that Access Databases J Shen, M Rinard https://hdl.handle.net/1721.1/138144, 2021 | 1 | 2021 |
| An empirical study on the impact of deimplicitization on comprehension in programs using application frameworks J Cito, J Shen, M Rinard Proceedings of the 17th International Conference on Mining Software …, 2020 | 1 | 2020 |
| Program Inference and Regeneration via Active Learning J Shen Massachusetts Institute of Technology, 2022 | | 2022 |
