3 papers
cs.SE2026
Multi-Perspective Agentic Program Repair via Code Property Graphs and Temporal Execution Graphs
Zhili Huang, Ling Xu, Hongyu Zhang
Large language models (LLMs) have improved automated program repair (APR), but two limitations remain. First, raw execution traces are often too large and repetitive to serve as ef…
cs.SE2025
DynaFix: Iterative Automated Program Repair Driven by Execution-Level Dynamic Information
Zhili Huang, Ling Xu, Chao Liu +5
Automated Program Repair (APR) aims to automatically generate correct patches for buggy programs. Recent approaches leveraging large language models (LLMs) have shown promise but f…
cs.SE2023
Revisiting and Improving Retrieval-Augmented Deep Assertion Generation
Weifeng Sun, Hongyan Li, Meng Yan +2
Unit testing validates the correctness of the unit under test and has become an essential activity in software development process. A unit test consists of a test prefix that drive…