MR-Coupler: Automated Metamorphic Test Generation via Functional Coupling Analysis
Fuente:
arXiv
Guardado en:
| Autores principales: | Xu, Congying, Zhu, Hengcheng, Chen, Songqiang, Wu, Jiarong, Terragni, Valerio, Cheung, Shing-Chi |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
MR-Scout: Automated Synthesis of Metamorphic Relations from Existing Test Cases
por: Xu, Congying, et al.
Publicado: (2023)
por: Xu, Congying, et al.
Publicado: (2023)
MR-Adopt: Automatic Deduction of Input Transformation Function for Metamorphic Testing
por: Xu, Congying, et al.
Publicado: (2024)
por: Xu, Congying, et al.
Publicado: (2024)
Understanding and Characterizing Mock Assertions in Unit Tests
por: Zhu, Hengcheng, et al.
Publicado: (2025)
por: Zhu, Hengcheng, et al.
Publicado: (2025)
LSPFuzz: Hunting Bugs in Language Servers
por: Zhu, Hengcheng, et al.
Publicado: (2025)
por: Zhu, Hengcheng, et al.
Publicado: (2025)
Word Closure-Based Metamorphic Testing for Machine Translation
por: Xie, Xiaoyuan, et al.
Publicado: (2023)
por: Xie, Xiaoyuan, et al.
Publicado: (2023)
Can Emulating Semantic Translation Help LLMs with Code Translation? A Study Based on Pseudocode
por: Chen, Songqiang, et al.
Publicado: (2025)
por: Chen, Songqiang, et al.
Publicado: (2025)
Improving LLM-Driven Test Generation by Learning from Mocking Information
por: Lee, Jamie, et al.
Publicado: (2026)
por: Lee, Jamie, et al.
Publicado: (2026)
From Untestable to Testable: Metamorphic Testing in the Age of LLMs
por: Terragni, Valerio
Publicado: (2026)
por: Terragni, Valerio
Publicado: (2026)
Metamorphic Testing of Large Language Models for Natural Language Processing
por: Cho, Steven, et al.
Publicado: (2025)
por: Cho, Steven, et al.
Publicado: (2025)
RulER: Automated Rule-Based Semantic Error Localization and Repair for Code Translation
por: Jin, Shuo, et al.
Publicado: (2025)
por: Jin, Shuo, et al.
Publicado: (2025)
Metamorphic Testing of Image Captioning Systems via Image-Level Reduction
por: Xie, Xiaoyuan, et al.
Publicado: (2023)
por: Xie, Xiaoyuan, et al.
Publicado: (2023)
GenMorph: Automatically Generating Metamorphic Relations via Genetic Programming
por: Ayerdi, Jon, et al.
Publicado: (2023)
por: Ayerdi, Jon, et al.
Publicado: (2023)
What Builds Effective In-Context Examples for Code Generation?
por: Li, Dongze, et al.
Publicado: (2025)
por: Li, Dongze, et al.
Publicado: (2025)
Isolating Language-Coding from Problem-Solving: Benchmarking LLMs with PseudoEval
por: Wu, Jiarong, et al.
Publicado: (2025)
por: Wu, Jiarong, et al.
Publicado: (2025)
LLMORPH: Automated Metamorphic Testing of Large Language Models
por: Cho, Steven, et al.
Publicado: (2026)
por: Cho, Steven, et al.
Publicado: (2026)
When LLMs Meet API Documentation: Can Retrieval Augmentation Aid Code Generation Just as It Helps Developers?
por: Chen, Jingyi, et al.
Publicado: (2025)
por: Chen, Jingyi, et al.
Publicado: (2025)
Multi-Agent Systems for Dataset Adaptation in Software Engineering: Capabilities, Limitations, and Future Directions
por: Chen, Jingyi, et al.
Publicado: (2025)
por: Chen, Jingyi, et al.
Publicado: (2025)
Can Large Language Models Model Programs Formally?
por: Chen, Zhiyong, et al.
Publicado: (2026)
por: Chen, Zhiyong, et al.
Publicado: (2026)
Automated Trustworthiness Testing for Machine Learning Classifiers
por: Cho, Steven, et al.
Publicado: (2024)
por: Cho, Steven, et al.
Publicado: (2024)
MT4DP: Data Poisoning Attack Detection for DL-based Code Search Models via Metamorphic Testing
por: Chen, Gong, et al.
Publicado: (2025)
por: Chen, Gong, et al.
Publicado: (2025)
CAM: A Causality-based Analysis Framework for Multi-Agent Code Generation Systems
por: Lyu, Zongyi, et al.
Publicado: (2026)
por: Lyu, Zongyi, et al.
Publicado: (2026)
Understanding LLM-Driven Test Oracle Generation
por: Bodicoat, Adam, et al.
Publicado: (2026)
por: Bodicoat, Adam, et al.
Publicado: (2026)
An Evolutionary Approach to Adapt Tests Across Mobile Apps
por: Mariani, Leonardo, et al.
Publicado: (2021)
por: Mariani, Leonardo, et al.
Publicado: (2021)
CODECLEANER: Elevating Standards with A Robust Data Contamination Mitigation Toolkit
por: Cao, Jialun, et al.
Publicado: (2024)
por: Cao, Jialun, et al.
Publicado: (2024)
Automatic Build Repair for Test Cases using Incompatible Java Versions
por: Mak, Ching Hang, et al.
Publicado: (2024)
por: Mak, Ching Hang, et al.
Publicado: (2024)
Understanding and Bridging the Planner-Coder Gap: A Systematic Study on the Robustness of Multi-Agent Systems for Code Generation
por: Lyu, Zongyi, et al.
Publicado: (2025)
por: Lyu, Zongyi, et al.
Publicado: (2025)
Adoption and Evolution of Code Style and Best Programming Practices in Open-Source Projects
por: Kupari, Alvari, et al.
Publicado: (2026)
por: Kupari, Alvari, et al.
Publicado: (2026)
Exploring and Lifting the Robustness of LLM-powered Automated Program Repair with Metamorphic Testing
por: Xue, Pengyu, et al.
Publicado: (2024)
por: Xue, Pengyu, et al.
Publicado: (2024)
Optimization-Aware Test Generation for Deep Learning Compilers
por: Shen, Qingchao, et al.
Publicado: (2025)
por: Shen, Qingchao, et al.
Publicado: (2025)
Subgraph-Oriented Testing for Deep Learning Libraries
por: Xie, Xiaoyuan, et al.
Publicado: (2024)
por: Xie, Xiaoyuan, et al.
Publicado: (2024)
JavaBench: A Benchmark of Object-Oriented Code Generation for Evaluating Large Language Models
por: Cao, Jialun, et al.
Publicado: (2024)
por: Cao, Jialun, et al.
Publicado: (2024)
Validating LLM-Generated Programs with Metamorphic Prompt Testing
por: Wang, Xiaoyin, et al.
Publicado: (2024)
por: Wang, Xiaoyin, et al.
Publicado: (2024)
ReuseDroid: A VLM-empowered Android UI Test Migrator Boosted by Active Feedback
por: Li, Xiaolei, et al.
Publicado: (2025)
por: Li, Xiaolei, et al.
Publicado: (2025)
AutoMT: A Multi-Agent LLM Framework for Automated Metamorphic Testing of Autonomous Driving Systems
por: Liang, Linfeng, et al.
Publicado: (2025)
por: Liang, Linfeng, et al.
Publicado: (2025)
AIM: Automated Input Set Minimization for Metamorphic Security Testing
por: Chaleshtari, Nazanin Bayati, et al.
Publicado: (2024)
por: Chaleshtari, Nazanin Bayati, et al.
Publicado: (2024)
Improving Deep Learning Framework Testing with Model-Level Metamorphic Testing
por: Mu, Yanzhou, et al.
Publicado: (2025)
por: Mu, Yanzhou, et al.
Publicado: (2025)
Test Adequacy for Metamorphic Testing: Criteria, Measurement, and Implication
por: Fu, An, et al.
Publicado: (2024)
por: Fu, An, et al.
Publicado: (2024)
Hallucination Detection for LLM-based Text-to-SQL Generation via Two-Stage Metamorphic Testing
por: Yang, Bo, et al.
Publicado: (2025)
por: Yang, Bo, et al.
Publicado: (2025)
Bidirectional Empowerment of Metamorphic Testing and Large Language Models: A Systematic Survey
por: Zheng, Zheng, et al.
Publicado: (2026)
por: Zheng, Zheng, et al.
Publicado: (2026)
Automated Trustworthiness Oracle Generation for Machine Learning Text Classifiers
por: Tung, Lam Nguyen, et al.
Publicado: (2024)
por: Tung, Lam Nguyen, et al.
Publicado: (2024)
Ejemplares similares
-
MR-Scout: Automated Synthesis of Metamorphic Relations from Existing Test Cases
por: Xu, Congying, et al.
Publicado: (2023) -
MR-Adopt: Automatic Deduction of Input Transformation Function for Metamorphic Testing
por: Xu, Congying, et al.
Publicado: (2024) -
Understanding and Characterizing Mock Assertions in Unit Tests
por: Zhu, Hengcheng, et al.
Publicado: (2025) -
LSPFuzz: Hunting Bugs in Language Servers
por: Zhu, Hengcheng, et al.
Publicado: (2025) -
Word Closure-Based Metamorphic Testing for Machine Translation
por: Xie, Xiaoyuan, et al.
Publicado: (2023)