Cover Image

XUAT-Copilot: Multi-Agent Collaborative System for Automated User Acceptance Testing with Large Language Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Zhitao, Wang, Wei, Li, Zirao, Wang, Long, Yi, Can, Xu, Xinjie, Cao, Luyang, Su, Hanjing, Chen, Shouzhi, Zhou, Jun
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MMAC-Copilot: Multi-modal Agent Collaboration Operating Copilot
by: Song, Zirui, et al.
Published: (2024)

Do It For Me vs. Do It With Me: Investigating User Perceptions of Different Paradigms of Automation in Copilots for Feature-Rich Software
by: Khurana, Anjali, et al.
Published: (2025)

GaussMaster: An LLM-based Database Copilot System
by: Zhou, Wei, et al.
Published: (2025)

LLM-based Multi-Agent Copilot for Quantum Sensor
by: Sha, Rong, et al.
Published: (2025)

APD-Agents: A Large Language Model-Driven Multi-Agents Collaborative Framework for Automated Page Design
by: Chen, Xinpeng, et al.
Published: (2025)

Temac: Multi-Agent Collaboration for Automated Web GUI Testing
by: Liu, Chenxu, et al.
Published: (2025)

MLR-Copilot: Autonomous Machine Learning Research based on Large Language Models Agents
by: Li, Ruochen, et al.
Published: (2024)

Automated Behaviour-Driven Acceptance Testing of Robotic Systems
by: Nguyen, Minh, et al.
Published: (2025)

AI for Persuasion? How Policy Endorsement From Large Language Models Increases Citizens' Compliance Willingness in China
by: Miao Xiang, et al.
Published: (2025)

Multi-User Large Language Model Agents
by: Yang, Shu, et al.
Published: (2026)

Improve Large Language Model Systems with User Logs
by: Wang, Changyue, et al.
Published: (2026)

Scaling Large Language Model-based Multi-Agent Collaboration
by: Qian, Chen, et al.
Published: (2024)

Fixed‐Time Consensus Tracking of Second‐Order Multi‐Agent Systems by Sliding Mode Control
by: Yajuan Liu, et al.
Published: (2025)

An Automated Multi-modal Evaluation Framework for Mobile Intelligent Assistants Based on Large Language Models and Multi-Agent Collaboration
by: Wang, Meiping, et al.
Published: (2025)

LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration
by: Zhao, Jun, et al.
Published: (2024)

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems
by: Hao, Zhezheng, et al.
Published: (2026)

Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean
by: Song, Peiyang, et al.
Published: (2024)

COHERENT: Collaboration of Heterogeneous Multi-Robot System with Large Language Models
by: Liu, Kehui, et al.
Published: (2024)

Collaborative Multi-Agent Reinforcement Learning for Automated Feature Transformation with Graph-Driven Path Optimization
by: Huang, Xiaohan, et al.
Published: (2025)

Data Dependency-Aware Code Generation from Enhanced UML Sequence Diagrams
by: Mao, Wenxin, et al.
Published: (2025)

Towards Automated Data Sciences with Natural Language and SageCopilot: Practices and Lessons Learned
by: Liao, Yuan, et al.
Published: (2024)

LogiAgent: Automated Logical Testing for REST Systems with LLM-Based Multi-Agents
by: Zhang, Ke, et al.
Published: (2025)

A Multi-Agent Framework for Automated Qinqiang Opera Script Generation Using Large Language Models
by: Cao, Gengxian, et al.
Published: (2025)

DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning
by: Guo, Siyuan, et al.
Published: (2024)

ComfyUI-Copilot: An Intelligent Assistant for Automated Workflow Development
by: Xu, Zhenran, et al.
Published: (2025)

ScholarCopilot: Training Large Language Models for Academic Writing with Accurate Citations
by: Wang, Yubo, et al.
Published: (2025)

Generalizable and Efficient Automated Scoring with a Knowledge-Distilled Multi-Task Mixture-of-Experts
by: Fang, Luyang, et al.
Published: (2025)

Agent for User: Testing Multi-User Interactive Features in TikTok
by: Feng, Sidong, et al.
Published: (2025)

User Behavior Simulation with Large Language Model based Agents
by: Wang, Lei, et al.
Published: (2023)

FutureWeaver: Planning Test-Time Compute for Multi-Agent Systems with Modularized Collaboration
by: Jung, Dongwon, et al.
Published: (2025)

OverleafCopilot: Empowering Academic Writing in Overleaf with Large Language Models
by: Wen, Haomin, et al.
Published: (2024)

Comprehensive Evaluation and Insights into the Use of Large Language Models in the Automation of Behavior-Driven Development Acceptance Test Formulation
by: Karpurapu, Shanthi, et al.
Published: (2024)

TrustResearcher: Automating Knowledge-Grounded and Transparent Research Ideation with Multi-Agent Collaboration
by: Zhou, Jiawei, et al.
Published: (2025)

SC-MAS: Constructing Cost-Efficient Multi-Agent Systems with Edge-Level Heterogeneous Collaboration
by: Zhao, Di, et al.
Published: (2026)

ReCopilot: Reverse Engineering Copilot in Binary Analysis
by: Chen, Guoqiang, et al.
Published: (2025)

Breaking Single-Tester Limits: Multi-Agent LLMs for Multi-User Feature Testing
by: Feng, Sidong, et al.
Published: (2025)

An Empirical Study of Multi-Agent Collaboration for Automated Research
by: Shen, Yang, et al.
Published: (2026)

Generative AI in Knowledge Work: Perception, Usefulness, and Acceptance of Microsoft 365 Copilot
by: Schmidt, Carsten F., et al.
Published: (2026)

Collaborative Evolution of Intelligent Agents in Large-Scale Microservice Systems
by: Li, Yilin, et al.
Published: (2025)

LayoutCopilot: An LLM-powered Multi-agent Collaborative Framework for Interactive Analog Layout Design
by: Liu, Bingyang, et al.
Published: (2024)