Cover Image

MR-Adopt: Automatic Deduction of Input Transformation Function for Metamorphic Testing

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xu, Congying, Chen, Songqiang, Wu, Jiarong, Cheung, Shing-Chi, Terragni, Valerio, Zhu, Hengcheng, Cao, Jialun
Format:	Preprint
Published:	2024
Subjects:	Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

Understanding and Characterizing Mock Assertions in Unit Tests
by: Zhu, Hengcheng, et al.
Published: (2025)

Can Emulating Semantic Translation Help LLMs with Code Translation? A Study Based on Pseudocode
by: Chen, Songqiang, et al.
Published: (2025)

LSPFuzz: Hunting Bugs in Language Servers
by: Zhu, Hengcheng, et al.
Published: (2025)

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

Isolating Language-Coding from Problem-Solving: Benchmarking LLMs with PseudoEval
by: Wu, Jiarong, et al.
Published: (2025)

What Builds Effective In-Context Examples for Code Generation?
by: Li, Dongze, et al.
Published: (2025)

When LLMs Meet API Documentation: Can Retrieval Augmentation Aid Code Generation Just as It Helps Developers?
by: Chen, Jingyi, et al.
Published: (2025)

From Untestable to Testable: Metamorphic Testing in the Age of LLMs
by: Terragni, Valerio
Published: (2026)

Can Large Language Models Model Programs Formally?
by: Chen, Zhiyong, et al.
Published: (2026)

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

Improving LLM-Driven Test Generation by Learning from Mocking Information
by: Lee, Jamie, et al.
Published: (2026)

GenMorph: Automatically Generating Metamorphic Relations via Genetic Programming
by: Ayerdi, Jon, et al.
Published: (2023)

CODECLEANER: Elevating Standards with A Robust Data Contamination Mitigation Toolkit
by: Cao, Jialun, et al.
Published: (2024)

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

ReuseDroid: A VLM-empowered Android UI Test Migrator Boosted by Active Feedback
by: Li, Xiaolei, et al.
Published: (2025)

Concerned with Data Contamination? Assessing Countermeasures in Code Language Model
by: Cao, Jialun, et al.
Published: (2024)

Automatic Build Repair for Test Cases using Incompatible Java Versions
by: Mak, Ching Hang, et al.
Published: (2024)

RulER: Automated Rule-Based Semantic Error Localization and Repair for Code Translation
by: Jin, Shuo, et al.
Published: (2025)

LLMORPH: Automated Metamorphic Testing of Large Language Models
by: Cho, Steven, et al.
Published: (2026)

JavaBench: A Benchmark of Object-Oriented Code Generation for Evaluating Large Language Models
by: Cao, Jialun, et al.
Published: (2024)

Multi-Agent Systems for Dataset Adaptation in Software Engineering: Capabilities, Limitations, and Future Directions
by: Chen, Jingyi, et al.
Published: (2025)

An Evolutionary Approach to Adapt Tests Across Mobile Apps
by: Mariani, Leonardo, et al.
Published: (2021)

ModelWisdom: An Integrated Toolkit for TLA+ Model Visualization, Digest and Repair
by: Chen, Zhiyong, et al.
Published: (2026)

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

Adoption and Evolution of Code Style and Best Programming Practices in Open-Source Projects
by: Kupari, Alvari, et al.
Published: (2026)

Understanding LLM-Driven Test Oracle Generation
by: Bodicoat, Adam, et al.
Published: (2026)

Enhancing Differential Testing With LLMs For Testing Deep Learning Libraries
by: Li, Meiziniu, et al.
Published: (2024)

DOMAINEVAL: An Auto-Constructed Benchmark for Multi-Domain Code Generation
by: Zhu, Qiming, et al.
Published: (2024)

Automated Trustworthiness Testing for Machine Learning Classifiers
by: Cho, Steven, et al.
Published: (2024)

Across Programming Language Silos: A Study on Cross-Lingual Retrieval-augmented Code Generation
by: Zhu, Qiming, et al.
Published: (2025)

Enchanting Program Specification Synthesis by Large Language Models using Static Analysis and Program Verification
by: Wen, Cheng, et al.
Published: (2024)

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

CAM: A Causality-based Analysis Framework for Multi-Agent Code Generation Systems
by: Lyu, Zongyi, et al.
Published: (2026)

COMET: Coverage-guided Model Generation For Deep Learning Library Testing
by: Li, Meiziniu, et al.
Published: (2022)

Understanding and Bridging the Planner-Coder Gap: A Systematic Study on the Robustness of Multi-Agent Systems for Code Generation
by: Lyu, Zongyi, et al.
Published: (2025)

EmbedAgent: Benchmarking Large Language Models in Embedded System Development
by: Xu, Ruiyang, et al.
Published: (2025)

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

iCoRe: An Iterative Correlation-Aware Retriever for Bug Reproduction Test Generation
by: Wang, Junyi, et al.
Published: (2026)