Aidan Z.H. Yang
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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
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
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
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
VERT: Verified Equivalent Rust Transpilation with Large Language Models as Few-Shot Learners
AZH Yang, Y Takashima, B Paulsen, J Dodds, D Kroening
arXiv preprint arXiv:2404.18852, 2024
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
SOAR: Synthesis for Open-Source API Refactoring
AZH Yang
Companion Proceedings of the 2020 ACM SIGPLAN International Conference on …, 2020
On Repairing Natural Language to SQL Queries
AZH Yang, R Brancas, P Esteves, S Aparicio, JP Nadkarni, ...
arXiv preprint arXiv:2310.03866, 2023
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