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cs.SE2025
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…
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…