Cover Image

Metamorphic Testing of Deep Code Models: A Systematic Literature Review

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Asgari, Ali, de Koning, Milan, Derakhshanfar, Pouria, Panichella, Annibale
Format:	Preprint
Published:	2025
Subjects:	Software Engineering Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Metamorphic Testing Approach to Diagnosing Memorization in LLM-Based Program Repair
by: De Koning, Milan, et al.
Published: (2026)

What Challenges Do Developers Face in AI Agent Systems? An Empirical Study on Stack Overflow & GitHub Issues
by: Asgari, Ali, et al.
Published: (2025)

Test Wars: A Comparative Study of SBST, Symbolic Execution, and LLM-Based Approaches to Unit Test Generation
by: Abdullin, Azat, et al.
Published: (2025)

TestSpark: IntelliJ IDEA's Ultimate Test Generation Companion
by: Sapozhnikov, Arkadii, et al.
Published: (2024)

Evolutionary Generative Fuzzing for Differential Testing of the Kotlin Compiler
by: Georgescu, Calin, et al.
Published: (2024)

Automated Test-Case Generation for REST APIs Using Model Inference Search Heuristic
by: Cao, Clinton, et al.
Published: (2024)

The Last Dependency Crusade: Solving Python Dependency Conflicts with LLMs
by: Bartlett, Antony, et al.
Published: (2025)

SBFT Tool Competition 2024 -- Python Test Case Generation Track
by: Erni, Nicolas, et al.
Published: (2024)

Automated Unit Test Case Generation: A Systematic Literature Review
by: Wang, Jason, et al.
Published: (2025)

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

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

ASSURE: Metamorphic Testing for AI-powered Browser Extensions
by: Gao, Xuanqi, et al.
Published: (2025)

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

Large Language Models for Software Engineering: A Systematic Literature Review
by: Hou, Xinyi, et al.
Published: (2023)

A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research
by: Cao, Sicong, 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)

Maintainability Challenges in ML: A Systematic Literature Review
by: Shivashankar, Karthik, et al.
Published: (2024)

A Systematic Literature Review on Detecting Software Vulnerabilities with Large Language Models
by: Kaniewski, Sabrina, et al.
Published: (2025)

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

Generative AI for Requirements Engineering: A Systematic Literature Review
by: Cheng, Haowei, et al.
Published: (2024)

Turbulence: Systematically and Automatically Testing Instruction-Tuned Large Language Models for Code
by: Honarvar, Shahin, et al.
Published: (2023)

Novice Developers' Perspectives on Adopting LLMs for Software Development: A Systematic Literature Review
by: Ferino, Samuel, et al.
Published: (2025)

Breaking the Silence: the Threats of Using LLMs in Software Engineering
by: Sallou, June, et al.
Published: (2023)

Metamorphic Testing for Audio Content Moderation Software
by: Wang, Wenxuan, et al.
Published: (2025)

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

Bridging Generation and Training: A Systematic Review of Quality Issues in LLMs for Code
by: He, Kaifeng, et al.
Published: (2026)

Impact and Implications of Generative AI for Enterprise Architects in Agile Environments: A Systematic Literature Review
by: Kooy, Stefan Julian, et al.
Published: (2025)

Effective Black Box Testing of Sentiment Analysis Classification Networks
by: Karbasizadeh, Parsa, et al.
Published: (2024)

Are LLMs Reliable Code Reviewers? Systematic Overcorrection in Requirement Conformance Judgement
by: Jin, Haolin, et al.
Published: (2026)

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

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

Metamorphic Testing for Pose Estimation Systems
by: Duran, Matias, et al.
Published: (2025)

RefExpo: Unveiling Software Project Structures through Advanced Dependency Graph Extraction
by: Haratian, Vahid, et al.
Published: (2024)

Predicting the Understandability of Computational Notebooks through Code Metrics Analysis
by: Ghahfarokhi, Mojtaba Mostafavi, et al.
Published: (2024)

Advances in Artificial Intelligence forDiabetes Prediction: Insights from a Systematic Literature Review
by: Khokhar, Pir Bakhsh, et al.
Published: (2024)

Klear-CodeTest: Scalable Test Case Generation for Code Reinforcement Learning
by: Fu, Jia, et al.
Published: (2025)

Rethinking Code Review in the Age of AI: A Vision for Agentic Code Review
by: Kamalı, Hüseyin Özgür, et al.
Published: (2026)

Evaluating Large Language Models for Code Review
by: Cihan, Umut, et al.
Published: (2025)

DeepCode: Open Agentic Coding
by: Li, Zongwei, et al.
Published: (2025)

On Assessing the Relevance of Code Reviews Authored by Generative Models
by: Heumüller, Robert, et al.
Published: (2025)