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Author

Quanjun Zhang

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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. · 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. · 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.

H. Zhou, Haichuan Hu, Ye Shang et al. · 0 citations