Soar: a synthesis approach for data science api refactoring A Ni, D Ramos, AZH Yang, I Lynce, V Manquinho, R Martins, C Le Goues 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021 | 24 | 2021 |
Large Language Models for Test-Free Fault Localization AZH Yang, C Le Goues, R Martins, VJ Hellendoorn 2024 IEEE/ACM 46th International Conference on Software Engineering (ICSE), 2023 | 18 | 2023 |
Predicting co-changes between functionality specifications and source code in behavior driven development AZH Yang, DA da Costa, Y Zou 2019 IEEE/ACM 16th International Conference on Mining Software Repositories …, 2019 | 17 | 2019 |
An empirical study on release notes patterns of popular apps in the Google Play Store AZH Yang, S Hassan, Y Zou, AE Hassan Empirical Software Engineering 27 (2), 55, 2022 | 15 | 2022 |
Revisiting Unnaturalness for Automated Program Repair in the Era of Large Language Models AZH Yang, S Kolak, VJ Hellendoorn, R Martins, CL Goues arXiv preprint arXiv:2404.15236, 2024 | 1 | 2024 |
SOAR: synthesis for open-source API refactoring AZH Yang Companion Proceedings of the 2020 ACM SIGPLAN International Conference on …, 2020 | 1 | 2020 |
VERT: Verified Equivalent Rust Transpilation with Few-Shot Learning AZH Yang, Y Takashima, B Paulsen, J Dodds, D Kroening arXiv preprint arXiv:2404.18852, 2024 | | 2024 |
On Repairing Natural Language to SQL Queries AZH Yang, R Brancas, P Esteves, S Aparicio, JP Nadkarni, ... arXiv preprint arXiv:2310.03866, 2023 | | 2023 |