Automated Unit Test Case Generation: A Systematic Literature Review
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Jason, Suleiman, Basem, Alibasa, Muhammad Johan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LLMs for Automated Unit Test Generation and Assessment in Java: The AgoneTest Framework
by: Lops, Andrea, et al.
Published: (2025)
by: Lops, Andrea, et al.
Published: (2025)
Metamorphic Testing of Deep Code Models: A Systematic Literature Review
by: Asgari, Ali, et al.
Published: (2025)
by: Asgari, Ali, et al.
Published: (2025)
Domain Adaptation for Code Model-based Unit Test Case Generation
by: Shin, Jiho, et al.
Published: (2023)
by: Shin, Jiho, et al.
Published: (2023)
A System for Automated Unit Test Generation Using Large Language Models and Assessment of Generated Test Suites
by: Lops, Andrea, et al.
Published: (2024)
by: Lops, Andrea, et al.
Published: (2024)
SPARC: Scenario Planning and Reasoning for Automated C Unit Test Generation
by: Chowdhury, Jaid Monwar, et al.
Published: (2026)
by: Chowdhury, Jaid Monwar, et al.
Published: (2026)
Generative AI for Requirements Engineering: A Systematic Literature Review
by: Cheng, Haowei, et al.
Published: (2024)
by: Cheng, Haowei, et al.
Published: (2024)
Harnessing the Power of LLMs: Automating Unit Test Generation for High-Performance Computing
by: Karanjai, Rabimba, et al.
Published: (2024)
by: Karanjai, Rabimba, et al.
Published: (2024)
TAM-Eval: Evaluating LLMs for Automated Unit Test Maintenance
by: Bruches, Elena, et al.
Published: (2026)
by: Bruches, Elena, et al.
Published: (2026)
Clarifying Semantics of In-Context Examples for Unit Test Generation
by: Yang, Chen, et al.
Published: (2025)
by: Yang, Chen, et al.
Published: (2025)
Maintainability Challenges in ML: A Systematic Literature Review
by: Shivashankar, Karthik, et al.
Published: (2024)
by: Shivashankar, Karthik, et al.
Published: (2024)
Large Language Models for Software Engineering: A Systematic Literature Review
by: Hou, Xinyi, et al.
Published: (2023)
by: Hou, Xinyi, et al.
Published: (2023)
Impact of Code Context and Prompting Strategies on Automated Unit Test Generation with Modern General-Purpose Large Language Models
by: Walczak, Jakub, et al.
Published: (2025)
by: Walczak, Jakub, et al.
Published: (2025)
AI-Assisted Unit Test Writing and Test-Driven Code Refactoring: A Case Study
by: Smolic, Ema, et al.
Published: (2026)
by: Smolic, Ema, 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)
by: Kooy, Stefan Julian, et al.
Published: (2025)
Toward Automated Validation of Language Model Synthesized Test Cases using Semantic Entropy
by: Taherkhani, Hamed, et al.
Published: (2024)
by: Taherkhani, Hamed, et al.
Published: (2024)
Automated User Story Generation with Test Case Specification Using Large Language Model
by: Rahman, Tajmilur, et al.
Published: (2024)
by: Rahman, Tajmilur, et al.
Published: (2024)
Automated Test-Case Generation for REST APIs Using Model Inference Search Heuristic
by: Cao, Clinton, et al.
Published: (2024)
by: Cao, Clinton, et al.
Published: (2024)
Learning to Generate Unit Tests for Automated Debugging
by: Prasad, Archiki, et al.
Published: (2025)
by: Prasad, Archiki, et al.
Published: (2025)
A Systematic Literature Review on Detecting Software Vulnerabilities with Large Language Models
by: Kaniewski, Sabrina, et al.
Published: (2025)
by: Kaniewski, Sabrina, et al.
Published: (2025)
Learning to Generate Unit Test via Adversarial Reinforcement Learning
by: Lee, Dongjun, et al.
Published: (2025)
by: Lee, Dongjun, et al.
Published: (2025)
Leveraging GPT-4 for Vulnerability-Witnessing Unit Test Generation
by: Antal, Gábor, et al.
Published: (2025)
by: Antal, Gábor, et al.
Published: (2025)
Unit Test Generation using Generative AI : A Comparative Performance Analysis of Autogeneration Tools
by: Bhatia, Shreya, et al.
Published: (2023)
by: Bhatia, Shreya, et al.
Published: (2023)
Novice Developers' Perspectives on Adopting LLMs for Software Development: A Systematic Literature Review
by: Ferino, Samuel, et al.
Published: (2025)
by: Ferino, Samuel, et al.
Published: (2025)
Static Program Analysis Guided LLM Based Unit Test Generation
by: Roychowdhury, Sujoy, et al.
Published: (2025)
by: Roychowdhury, Sujoy, et al.
Published: (2025)
Leveraging Large Language Models for Enhancing the Understandability of Generated Unit Tests
by: Deljouyi, Amirhossein, et al.
Published: (2024)
by: Deljouyi, Amirhossein, et al.
Published: (2024)
LAUDE: LLM-Assisted Unit Test Generation and Debugging of Hardware DEsigns
by: Nandal, Deeksha, et al.
Published: (2026)
by: Nandal, Deeksha, et al.
Published: (2026)
Automating a Complete Software Test Process Using LLMs: An Automotive Case Study
by: Wang, Shuai, et al.
Published: (2025)
by: Wang, Shuai, et al.
Published: (2025)
Automated System-level Testing of Unmanned Aerial Systems
by: Sartaj, Hassan, et al.
Published: (2024)
by: Sartaj, Hassan, et al.
Published: (2024)
A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research
by: Cao, Sicong, et al.
Published: (2024)
by: Cao, Sicong, et al.
Published: (2024)
Navigating the Labyrinth: Path-Sensitive Unit Test Generation with Large Language Models
by: Liao, Dianshu, et al.
Published: (2025)
by: Liao, Dianshu, et al.
Published: (2025)
Unify and Triumph: Polyglot, Diverse, and Self-Consistent Generation of Unit Tests with LLMs
by: Khelladi, Djamel Eddine, et al.
Published: (2025)
by: Khelladi, Djamel Eddine, et al.
Published: (2025)
Klear-CodeTest: Scalable Test Case Generation for Code Reinforcement Learning
by: Fu, Jia, et al.
Published: (2025)
by: Fu, Jia, et al.
Published: (2025)
Evaluating Large Language Models for the Generation of Unit Tests with Equivalence Partitions and Boundary Values
by: Rodríguez, Martín, et al.
Published: (2025)
by: Rodríguez, Martín, et al.
Published: (2025)
Unit Testing in ASP Revisited: Language and Test-Driven Development Environment
by: Amendola, Giovanni, et al.
Published: (2024)
by: Amendola, Giovanni, et al.
Published: (2024)
Bridging Generation and Training: A Systematic Review of Quality Issues in LLMs for Code
by: He, Kaifeng, et al.
Published: (2026)
by: He, Kaifeng, et al.
Published: (2026)
The Prompt Alchemist: Automated LLM-Tailored Prompt Optimization for Test Case Generation
by: Gao, Shuzheng, et al.
Published: (2025)
by: Gao, Shuzheng, et al.
Published: (2025)
Advances in Artificial Intelligence forDiabetes Prediction: Insights from a Systematic Literature Review
by: Khokhar, Pir Bakhsh, et al.
Published: (2024)
by: Khokhar, Pir Bakhsh, et al.
Published: (2024)
The Potential of LLMs in Automating Software Testing: From Generation to Reporting
by: Sherifi, Betim, et al.
Published: (2024)
by: Sherifi, Betim, et al.
Published: (2024)
UnitTenX: Generating Tests for Legacy Packages with AI Agents Powered by Formal Verification
by: Charalambous, Yiannis, et al.
Published: (2025)
by: Charalambous, Yiannis, et al.
Published: (2025)
The Future of Software Testing: AI-Powered Test Case Generation and Validation
by: Baqar, Mohammad, et al.
Published: (2024)
by: Baqar, Mohammad, et al.
Published: (2024)
Similar Items
-
LLMs for Automated Unit Test Generation and Assessment in Java: The AgoneTest Framework
by: Lops, Andrea, et al.
Published: (2025) -
Metamorphic Testing of Deep Code Models: A Systematic Literature Review
by: Asgari, Ali, et al.
Published: (2025) -
Domain Adaptation for Code Model-based Unit Test Case Generation
by: Shin, Jiho, et al.
Published: (2023) -
A System for Automated Unit Test Generation Using Large Language Models and Assessment of Generated Test Suites
by: Lops, Andrea, et al.
Published: (2024) -
SPARC: Scenario Planning and Reasoning for Automated C Unit Test Generation
by: Chowdhury, Jaid Monwar, et al.
Published: (2026)