activity
20242026
collaborators

59 papers

cs.SE2026

Software Engineering for and with GUI Agent

Shengcheng Yu, Yuchen Ling, Junyang Xing +3

GUI agents have advanced rapidly, producing a growing body of frameworks, benchmarks, and applications. However, this growth has outpaced the maturity of the field. GUI agents rema…

cs.CR2026

Breaking Customized LLMs for Coding: Automated Red Teaming for Instruction Backdoor Attacks

Yuchen Chen, Wei Cheng, Yuan Xiao +5

LLM customization platforms allow users to build task-specific models for code intelligence tasks by embedding instructions into system prompts, without modifying the underlying mo…

cs.CR2026

Insecure Coding Preferences in Long-Term Memory: Security Risks for LLM-based Code Generation

Yuchen Chen, Wei Cheng, Yuan Xiao +7

LLM-based systems increasingly incorporate long-term memory to improve cross-session continuity. However, once insecure coding preferences are stored, they may silently influence s…

cs.SE2026

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

Quanjun Zhang, Yi Zheng, Ye Shang +5

Reproduction tests help developers confirm reported issues and provide executable feedback for issue resolution, yet issue reports in open-source projects rarely include such tests…

cs.SE2026

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

Quanjun Zhang, Ye Shang, Siqi Gu +4

Recently, the emergence of Large Language Models (LLMs) has spurred a surge of research into automated unit test generation, yielding impressive performance and reducing manual eff…

cs.CR2026

Thinking More, Harnessing Better: State Machine Guided Harness Automatic Generation with Project Digestion and Workflow Decomposition

Xing Zhang, Zikang Huang, Gang Yang +9

High-quality fuzz harnesses are essential for effective gray-box fuzzing. While Large Language Models (LLMs) offer promise for automating this task, existing one-turn generation me…