3 papers
cs.SE2026
From Empirical Evaluation to Context-Aware Enhancement: Repairing Regression Errors with LLMs
Anh Ho, Thanh Le-Cong, Bach Le +1
[...] Since then, various APR approaches, especially those leveraging the power of large language models (LLMs), have been rapidly developed to fix general software bugs. Unfortuna…
eess.SY2025
Context-aware LLM-based Safe Control Against Latent Risks
Xiyu Deng, Quan Khanh Luu, Anh Van Ho +1
Autonomous control systems face significant challenges in performing complex tasks in the presence of latent risks. To address this, we propose an integrated framework that combine…
cs.SE2025
EnseSmells: Deep ensemble and programming language models for automated code smells detection
Anh Ho, Anh M. T. Bui, Phuong T. Nguyen +2
A smell in software source code denotes an indication of suboptimal design and implementation decisions, potentially hindering the code understanding and, in turn, raising the like…