Author

Quan-Jun Zhang

h-index 4 View on Semantic Scholar

We have 6 of 16 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Preprint Sep 2026

Beyond the Model: Demystifying Harness Effects in Software Engineering Agents

Large Language Model (LLM)-based agents are increasingly used for software engineering tasks, yet their performance is not determined by the base model alone. The agent harness substantially shapes how SE agents interact with repositories, execute actions, and validate solutions. However, the role of harness design rem...

Hai-Chuan Hu, Quan-Jun Zhang, Sheng-Cheng Yu et al. · 0 citations

Jul 2026

MultiFixer: A Coordinator-Proposer Based Multi-Agent Framework For Fixing Multi-Hunk Bugs

Automated Program Repair (APR) has benefited greatly from Large Language Models (LLMs), but existing LLM-based APR methods still struggle with multi-hunk bugs that require coordinated changes across multiple locations. These bugs demand repository-level context understanding, repair-order scheduling, and effective hunk...

Haichuan Hu, Chunrong Fang, Ye Shang et al. · arXiv.org · 0 citations

Preprint Jul 2026

ReProAgent: Tool-Augmented Multi-Stage Agentic Generation of Bug Reproduction Tests from Issue Reports

ReProAgent is a multi-stage agent framework for reproduction test generation from issue reports that decomposes the task into four agent stages: bug localization, root cause analysis, test planning, and test generation, and generalizes across multiple backbone LLMs.

Quanjun Zhang, Yi Zheng, Ye Shang et al. · 1 citation

Review Jul 2026

Multi-Agent LLM Collaboration for Unit Test Generation via Human-Testing-Inspired Workflows

TestAgent is proposed, an LLM-based test generation approach that addresses the above limitations by emulating human testing practices via a multi-agent collaboration mechanism and equips TestAgent with a set of tool APIs that can be invoked dynamically in an on-demand and adaptive manner.

Quanjun Zhang, Ye Shang, Siqi Gu et al. · arXiv.org · 0 citations

Book Open access Jul 2026

TestAgent: A Multi-Agent LLM Framework for Repository-Level Unit Test Generation

TestAgent, a multi-agent tool implemented as a VS Code extension that automates the generation of high-quality unit tests for Java projects using repository-level Code Knowledge Graphs, demonstrates its practical utility for regression testing and bug discovery.

Ye Shang, Quanjun Zhang, Zheng Zhan et al. · SIGSOFT FSE Companion · 0 citations

Review Aug 2026

Self-Evolving Coding Agents

This survey aims to clarify the conceptual boundaries of self-evolving coding agents and provide a foundation for designing more adaptive, reliable, and software-aware agentic systems.

Hao Zhou, Hai-Chuan Hu, Tianyu Luo et al. · 0 citations