Cover Image

AutoMT: A Multi-Agent LLM Framework for Automated Metamorphic Testing of Autonomous Driving Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liang, Linfeng, Tan, Chenkai, Deng, Yao, Cai, Yingfeng, Chen, T. Y, Zheng, Xi
Format:	Preprint
Published:	2025
Subjects:	Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MARL-OT: Multi-Agent Reinforcement Learning Guided Online Fuzzing to Detect Safety Violation in Autonomous Driving Systems
by: Liang, Linfeng, et al.
Published: (2025)

SAFE: Harnessing LLM for Scenario-Driven ADS Testing from Multimodal Crash Data
by: Luo, Siwei, et al.
Published: (2025)

From Particles to Perils: SVGD-Based Hazardous Scenario Generation for Autonomous Driving Systems Testing
by: Liang, Linfeng, et al.
Published: (2026)

TARGET: Automated Scenario Generation from Traffic Rules for Testing Autonomous Vehicles via Validated LLM-Guided Knowledge Extraction
by: Deng, Yao, et al.
Published: (2023)

Exploring and Lifting the Robustness of LLM-powered Automated Program Repair with Metamorphic Testing
by: Xue, Pengyu, et al.
Published: (2024)

MarMot: Metamorphic Runtime Monitoring of Autonomous Driving Systems
by: Ayerdi, Jon, et al.
Published: (2023)

A Step-by-Step Guide to Creating a Robust Autonomous Drone Testing Pipeline
by: Jiang, Yupeng, et al.
Published: (2025)

LLM Assisted Coding with Metamorphic Specification Mutation Agent
by: Akhond, Mostafijur Rahman, et al.
Published: (2025)

AI-Augmented Metamorphic Testing for Comprehensive Validation of Autonomous Vehicles
by: Zhang, Tony, et al.
Published: (2025)

Improving Deep Learning Framework Testing with Model-Level Metamorphic Testing
by: Mu, Yanzhou, et al.
Published: (2025)

Constrained Co-evolutionary Metamorphic Differential Testing for Autonomous Systems with an Interpretability Approach
by: Yousefizadeh, Hossein, et al.
Published: (2025)

VP-AutoTest: A Virtual-Physical Fusion Autonomous Driving Testing Platform
by: Cui, Yiming, et al.
Published: (2025)

MT4DP: Data Poisoning Attack Detection for DL-based Code Search Models via Metamorphic Testing
by: Chen, Gong, et al.
Published: (2025)

MR-Scout: Automated Synthesis of Metamorphic Relations from Existing Test Cases
by: Xu, Congying, et al.
Published: (2023)

MORTAR: Multi-turn Metamorphic Testing for LLM-based Dialogue Systems
by: Guo, Guoxiang, et al.
Published: (2024)

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems
by: Yousefizadeh, Hossein, et al.
Published: (2024)

An LLM-driven Scenario Generation Pipeline Using an Extended Scenic DSL for Autonomous Driving Safety Validation
by: Safa, Fida Khandaker, et al.
Published: (2026)

Towards Automated Driving Violation Cause Analysis in Scenario-Based Testing for Autonomous Driving Systems
by: Wan, Ziwen, et al.
Published: (2024)

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

MeTMaP: Metamorphic Testing for Detecting False Vector Matching Problems in LLM Augmented Generation
by: Wang, Guanyu, et al.
Published: (2024)

GARL: Genetic Algorithm-Augmented Reinforcement Learning to Detect Violations in Marker-Based Autonomous Landing Systems
by: Liang, Linfeng, et al.
Published: (2023)

AIM: Automated Input Set Minimization for Metamorphic Security Testing
by: Chaleshtari, Nazanin Bayati, et al.
Published: (2024)

STADA: Specification-based Testing for Autonomous Driving Agents
by: Saha, Joy, et al.
Published: (2026)

Validating LLM-Generated Programs with Metamorphic Prompt Testing
by: Wang, Xiaoyin, et al.
Published: (2024)

Test Adequacy for Metamorphic Testing: Criteria, Measurement, and Implication
by: Fu, An, et al.
Published: (2024)

Bidirectional Empowerment of Metamorphic Testing and Large Language Models: A Systematic Survey
by: Zheng, Zheng, et al.
Published: (2026)

VulnBot: Autonomous Penetration Testing for A Multi-Agent Collaborative Framework
by: Kong, He, et al.
Published: (2025)

Leveraging LLM Agents for Automated Video Game Testing
by: Wang, Chengjia, et al.
Published: (2025)

Moral Testing of Autonomous Driving Systems
by: Tang, Wenbing, et al.
Published: (2025)

Fine-grained Testing for Autonomous Driving Software: a Study on Autoware with LLM-driven Unit Testing
by: Wang, Wenhan, et al.
Published: (2025)

Hallucination Detection for LLM-based Text-to-SQL Generation via Two-Stage Metamorphic Testing
by: Yang, Bo, et al.
Published: (2025)

Multi-Agent Specification-based Metamorphic Testing of FMU-Based Simulations
by: Kulshreshtha, Ashir, et al.
Published: (2026)

MR-Coupler: Automated Metamorphic Test Generation via Functional Coupling Analysis
by: Xu, Congying, et al.
Published: (2026)

Knowledge-Based Multi-Agent Framework for Automated Software Architecture Design
by: Zhang, Yiran, et al.
Published: (2025)

Word Closure-Based Metamorphic Testing for Machine Translation
by: Xie, Xiaoyuan, et al.
Published: (2023)

AutoINV: Automated Invariant Generation Framework for Formal Verification on High-Level Synthesis Designs
by: Zhou, Xiaofeng, et al.
Published: (2026)

Detecting Non-Optimal Decisions of Embodied Agents via Diversity-Guided Metamorphic Testing
by: Wu, Wenzhao, et al.
Published: (2025)

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

Metamorphic Testing of Multimodal Human Trajectory Prediction
by: Spieker, Helge, et al.
Published: (2025)

Regression Testing Optimization for ROS-based Autonomous Systems: A Comprehensive Review of Techniques
by: Jiang, Yupeng, et al.
Published: (2025)