:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Lee, Hyukjoo
Format:	Preprint
Published:	2026
Subjects:	Software Engineering Artificial Intelligence
Online Access:	https://arxiv.org/abs/2605.01471
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RepairAgent: An Autonomous, LLM-Based Agent for Program Repair
by: Bouzenia, Islem, et al.
Published: (2024)

MCP-Zero: Active Tool Discovery for Autonomous LLM Agents
by: Fei, Xiang, et al.
Published: (2025)

Multi-Agent LLM Committees for Autonomous Software Beta Testing
by: Karanam, Sumanth Bharadwaj Hachalli, et al.
Published: (2025)

A Multi-Agent Approach for REST API Testing with Semantic Graphs and LLM-Driven Inputs
by: Kim, Myeongsoo, et al.
Published: (2024)

A Self-Healing Framework for Reliable LLM-Based Autonomous Agents
by: Jeong, Cheonsu, et al.
Published: (2026)

A Case Study on AI Engineering Practices: Developing an Autonomous Stock Trading System
by: Grote, Marcel, et al.
Published: (2023)

AgentForge: Execution-Grounded Multi-Agent LLM Framework for Autonomous Software Engineering
by: Kumar, Rajesh, et al.
Published: (2026)

ALMAS: an Autonomous LLM-based Multi-Agent Software Engineering Framework
by: Tawosi, Vali, et al.
Published: (2025)

The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries
by: Jiang, Weipeng, et al.
Published: (2025)

AI-Assisted Unit Test Writing and Test-Driven Code Refactoring: A Case Study
by: Smolic, Ema, et al.
Published: (2026)

A Metamorphic Testing Approach to Diagnosing Memorization in LLM-Based Program Repair
by: De Koning, Milan, et al.
Published: (2026)

Automated Self-Testing as a Quality Gate: Evidence-Driven Release Management for LLM Applications
by: Maiorano, Alexandre Cristovão
Published: (2026)

Repair-R1: Better Test Before Repair
by: Hu, Haichuan, et al.
Published: (2025)

Tests as Prompt: A Test-Driven-Development Benchmark for LLM Code Generation
by: Cui, Yi
Published: (2025)

DoVer: Intervention-Driven Auto Debugging for LLM Multi-Agent Systems
by: Ma, Ming, et al.
Published: (2025)

Identifying Helpful Context for LLM-based Vulnerability Repair: A Preliminary Study
by: Antal, Gábor, et al.
Published: (2025)

Automatically Generating Web Applications from Requirements Via Multi-Agent Test-Driven Development
by: Wan, Yuxuan, et al.
Published: (2025)

Learning Correct Behavior from Examples: Validating Sequential Execution in Autonomous Agents
by: Sharma, Reshabh K, et al.
Published: (2026)

GISclaw: A Comprehensive Open-Source LLM Agent System for Realistic Multi-Step Geospatial Analysis
by: Han, Jinzhen, et al.
Published: (2026)

Model-Enhanced LLM-Driven VUI Testing of VPA Apps
by: Li, Suwan, et al.
Published: (2024)

Rethinking the Value of Agent-Generated Tests for LLM-Based Software Engineering Agents
by: Chen, Zhi, et al.
Published: (2026)

Trae Agent: An LLM-based Agent for Software Engineering with Test-time Scaling
by: Trae Research Team, et al.
Published: (2025)

An Empirical Study of Agent Developer Practices in AI Agent Frameworks
by: Wang, Yanlin, et al.
Published: (2025)

HAFixAgent: History-Aware Program Repair Agent
by: Shi, Yu, et al.
Published: (2025)

Understanding Automated Program Repair Agents Through the Lens of Traceability: An Empirical Study
by: Ceka, Ira, et al.
Published: (2025)

ARIS: Autonomous Research via Adversarial Multi-Agent Collaboration
by: Yang, Ruofeng, et al.
Published: (2026)

LinkAnchor: An Autonomous LLM-Based Agent for Issue-to-Commit Link Recovery
by: Akhavan, Arshia, et al.
Published: (2025)

Automating Android Build Repair: Bridging the Reasoning-Execution Gap in LLM Agents with Domain-Specific Tools
by: Son, Ha Min, et al.
Published: (2025)

FailureMem: A Failure-Aware Multimodal Framework for Autonomous Software Repair
by: Ma, Ruize, et al.
Published: (2026)

Towards Reliable LLM-Driven Fuzz Testing: Vision and Road Ahead
by: Cheng, Yiran, et al.
Published: (2025)

Agyn: A Multi-Agent System for Team-Based Autonomous Software Engineering
by: Benkovich, Nikita, et al.
Published: (2026)

AutoSafeCoder: A Multi-Agent Framework for Securing LLM Code Generation through Static Analysis and Fuzz Testing
by: Nunez, Ana, et al.
Published: (2024)

MASTEST: A LLM-Based Multi-Agent System For RESTful API Tests
by: Han, Xiaoke, et al.
Published: (2025)

EigenData: A Self-Evolving Multi-Agent Platform for Function-Calling Data Synthesis, Auditing, and Repair
by: Chen, Jiaao, et al.
Published: (2026)

SecureFixAgent: A Hybrid LLM Agent for Automated Python Static Vulnerability Repair
by: Gajjar, Jugal, et al.
Published: (2025)

Collaborative Agents for Automated Program Repair in Ruby
by: Akbarpour, Nikta, et al.
Published: (2025)

Evaluating Agent-based Program Repair at Google
by: Rondon, Pat, et al.
Published: (2025)

Agora: Toward Autonomous Bug Detection in Production-Level Consensus Protocols with LLM Agents
by: Liu, Xiang, et al.
Published: (2026)

Instruction-Driven Game Engine: A Poker Case Study
by: Wu, Hongqiu, et al.
Published: (2024)

LLM Collaboration With Multi-Agent Reinforcement Learning
by: Liu, Shuo, et al.
Published: (2025)