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20242026
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9 papers · 1 filter

cs.SE2026

Do These Violent Delights Have Violent Ends? Measuring the Post-Merge Fate of Agentic Code

Chunqiu Steven Xia, Courtney Miller

Agentic coding tools are increasingly used to make autonomous repository-level changes to real-world projects. Prior work has largely evaluated these contributions at the pre-merge…

cs.SE2025

Live-SWE-agent: Can Software Engineering Agents Self-Evolve on the Fly?

Chunqiu Steven Xia, Zhe Wang, Yan Yang +2

Large Language Models (LLMs) are reshaping almost all industries, including software engineering. In recent years, a number of LLM agents have been proposed to solve real-world sof…

cs.SE2025

UniDebugger: Hierarchical Multi-Agent Framework for Unified Software Debugging

Cheryl Lee, Chunqiu Steven Xia, Longji Yang +4

Software debugging is a time-consuming endeavor involving a series of steps, such as fault localization and patch generation, each requiring thorough analysis and a deep understand…

cs.SE2024

Fuzz4All: Universal Fuzzing with Large Language Models

Chunqiu Steven Xia, Matteo Paltenghi, Jia Le Tian +2

Fuzzing has achieved tremendous success in discovering bugs and vulnerabilities in various software systems. Systems under test (SUTs) that take in programming or formal language a…

cs.SE2024

Keep the Conversation Going: Fixing 162 out of 337 bugs for $0.42 each using ChatGPT

Chunqiu Steven Xia, Lingming Zhang

Automated Program Repair (APR) aims to automatically generate patches for buggy programs. Recent APR work has been focused on leveraging modern Large Language Models (LLMs) to dire…

cs.SE2024

Revisiting the Plastic Surgery Hypothesis via Large Language Models

Chunqiu Steven Xia, Yifeng Ding, Lingming Zhang

Automated Program Repair (APR) aspires to automatically generate patches for an input buggy program. Traditional APR tools typically focus on specific bug types and fixes through t…