no code implementations • 3 May 2024 • Michael R. Lyu, Baishakhi Ray, Abhik Roychoudhury, Shin Hwei Tan, Patanamon Thongtanunam
In this article, we study automated coding in a general sense and study the concerns around code quality, security and related issues of programmer responsibility.
no code implementations • 13 Apr 2024 • Junjielong Xu, Ying Fu, Shin Hwei Tan, Pinjia He
Our core insight is that LLM's APR capability can be greatly improved by simply aligning the output to their training objective and allowing them to refine the whole program without first performing fault localization.
no code implementations • 28 Sep 2023 • Jiashi Gao, Changwu Huang, Ming Tang, Shin Hwei Tan, Xin Yao, Xuetao Wei
Recent advances in federated learning (FL) enable collaborative training of machine learning (ML) models from large-scale and widely dispersed clients while protecting their privacy.
no code implementations • 2023 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) 2023 • Xiaowen Zhang, Ying Zhou, Shin Hwei Tan
Second, we evaluate Codegex in automated code review by running it on 4256 PRs where it generated 372 review comments and received 116 feedback.
no code implementations • 27 Jun 2019 • William B. Langdon, Westley Weimer, Christopher Timperley, Oliver Krauss, Zhen Yu Ding, Yiwei Lyu, Nicolas Chausseau, Eric Schulte, Shin Hwei Tan, Kevin Leach, Yu Huang, Gabin An
We report the discussion session at the sixth international Genetic Improvement workshop, GI-2019 @ ICSE, which was held as part of the 41st ACM/IEEE International Conference on Software Engineering on Tuesday 28th May 2019.