Cover Image

Bidirectional Empowerment of Metamorphic Testing and Large Language Models: A Systematic Survey

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zheng, Zheng, Zhou, Zenghui, Xu, Yinwang, Ren, Daixu, Chen, Tsong Yueh
Format:	Preprint
Published:	2026
Subjects:	Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Metamorphic Relation Generation: State of the Art and Visions for Future Research
by: Li, Rui, et al.
Published: (2024)

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

PSALM: applying Proportional SAmpLing strategy in Metamorphic testing
by: Zhou, Zenghui, 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)

LGMT: Logic-Grounded Metamorphic Testing for Evaluating the Reasoning Reliability of LLMs
by: Zhou, Zenghui, et al.
Published: (2026)

LLM-Based Static Verification of Code Against Natural-Language Requirements: An Industrial Experience Report
by: Zhou, Zhi Quan, et al.
Published: (2026)

Integrating Artificial Intelligence with Human Expertise: An In-depth Analysis of ChatGPT's Capabilities in Generating Metamorphic Relations
by: Zhang, Yifan, et al.
Published: (2025)

Metamorphic Testing of Large Language Models for Natural Language Processing
by: Cho, Steven, et al.
Published: (2025)

Drowzee: Metamorphic Testing for Fact-Conflicting Hallucination Detection in Large Language Models
by: Li, Ningke, et al.
Published: (2024)

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

Metamorphic Testing of Deep Code Models: A Systematic Literature Review
by: Asgari, Ali, et al.
Published: (2025)

AutoMT: A Multi-Agent LLM Framework for Automated Metamorphic Testing of Autonomous Driving Systems
by: Liang, Linfeng, et al.
Published: (2025)

A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends
by: Zheng, Zibin, et al.
Published: (2023)

Towards Generating Executable Metamorphic Relations Using Large Language Models
by: Shin, Seung Yeob, et al.
Published: (2024)

Metamorphic Testing of Vision-Language Action-Enabled Robots
by: Valle, Pablo, et al.
Published: (2026)

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

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

Large Language Models for Unit Testing: A Systematic Literature Review
by: Zhang, Quanjun, et al.
Published: (2025)

MR-Adopt: Automatic Deduction of Input Transformation Function for Metamorphic Testing
by: Xu, Congying, et al.
Published: (2024)

Reflective Unit Test Generation for Precise Type Error Detection with Large Language Models
by: Yang, Chen, et al.
Published: (2025)

Software Testing with Large Language Models: Survey, Landscape, and Vision
by: Wang, Junjie, et al.
Published: (2023)

Metamorphic Testing of Image Captioning Systems via Image-Level Reduction
by: Xie, Xiaoyuan, et al.
Published: (2023)

A Survey on the Application of Large Language Models in Scenario-Based Testing of Automated Driving Systems
by: Zhao, Yongqi, et al.
Published: (2025)

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

Empowering AIOps: Leveraging Large Language Models for IT Operations Management
by: Vitui, Arthur, et al.
Published: (2025)

Efficient Fairness Testing in Large Language Models: Prioritizing Metamorphic Relations for Bias Detection
by: Giramata, Suavis, et al.
Published: (2025)

Metamorphic Testing of Multimodal Human Trajectory Prediction
by: Spieker, Helge, 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)

Metamorphic Coverage
by: Ba, Jinsheng, et al.
Published: (2025)

Optimizing Metamorphic Testing: Prioritizing Relations Through Execution Profile Dissimilarity
by: Srinivasan, Madhusudan, et al.
Published: (2024)

Search-based Selection of Metamorphic Relations for Optimized Robustness Testing of Large Language Models
by: Hyun, Sangwon, et al.
Published: (2025)

Code Comments for Quantum Software Development Kits: An Empirical Study on Qiskit
by: Zhou, Zenghui, et al.
Published: (2025)

On the Evaluation of Large Language Models in Unit Test Generation
by: Yang, Lin, et al.
Published: (2024)

A Large-scale Empirical Study on Fine-tuning Large Language Models for Unit Testing
by: Shang, Ye, et al.
Published: (2024)

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

Evaluating Human Trajectory Prediction with Metamorphic Testing
by: Spieker, Helge, et al.
Published: (2024)

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

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

GenFair: Systematic Test Generation for Fairness Fault Detection in Large Language Models
by: Srinivasan, Madhusudan, et al.
Published: (2025)

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