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A Review of Large Language Models for Automated Test Case Generation

https://doi.org/10.3390/make7030097
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s10515-025-00496-7openalex-snapshot
LLM-enhanced evolutionary test generation for untyped languages
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What am I testing and where? Comparing testing procedures based on lightweight requirements annotations
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Enriching automatic test case generation by extracting relevant test inputs from bug reports
inferredcites →https://doi.org/10.1016/bs.adcom.2017.11.003openalex-snapshot
Emerging Software Testing Technologies
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Evaluating large language models for software testing
inferredcites →https://doi.org/10.1016/j.infsof.2021.106567openalex-snapshot
Test case generation for agent-based models: A systematic literature review
inferredcites →https://doi.org/10.1016/j.infsof.2024.107468openalex-snapshot
Effective test generation using pre-trained Large Language Models and mutation testing
inferredcites →https://doi.org/10.1016/j.jss.2025.112571openalex-snapshot
Mokav: Execution-driven differential testing with LLMs
inferredcites →https://doi.org/10.1109/access.2021.3077755openalex-snapshot
Exploring the Profiles of Software Testing Jobs in the United States
inferredcites →https://doi.org/10.1109/access.2022.3211949openalex-snapshot
Evolution of Software Testing Strategies and Trends: Semantic Content Analysis of Software Research Corpus of the Last 40 Years
inferredcites →https://doi.org/10.1109/access.2024.3365742openalex-snapshot
A Review on Large Language Models: Architectures, Applications, Taxonomies, Open Issues and Challenges
inferredcites →https://doi.org/10.1109/access.2024.3384459openalex-snapshot
The Impact of Software Testing on Serverless Applications
inferredcites →https://doi.org/10.1109/aitest62860.2024.00020openalex-snapshot
Leveraging Large Language Models for Python Unit Test
inferredcites →https://doi.org/10.1109/ase56229.2023.00089openalex-snapshot
Nuances are the Key: Unlocking ChatGPT to Find Failure-Inducing Tests with Differential Prompting
inferredcites →https://doi.org/10.1109/ase56229.2023.00193openalex-snapshot
CAT-LM Training Language Models on Aligned Code And Tests
inferredcites →https://doi.org/10.1109/ast66626.2025.00008openalex-snapshot
AsserT5: Test Assertion Generation Using a Fine-Tuned Code Language Model
inferredcites →https://doi.org/10.1109/citsm60085.2023.10455226openalex-snapshot
Analysis of Strengths and Weaknesses of Software Testing Strategies: Systematic Literature Review
inferredcites →https://doi.org/10.1109/csce60160.2023.00051openalex-snapshot
Digital Rubber Duck: Leveraging Large Language Models for Extreme Programming
inferredcites →https://doi.org/10.1109/deeptest66595.2025.00011openalex-snapshot
Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation
inferredcites →https://doi.org/10.1109/fllm63129.2024.10852505openalex-snapshot
LLM-Driven Testing for Autonomous Driving Scenarios
inferredcites →https://doi.org/10.1109/icarc64760.2025.10962997openalex-snapshot
Evaluating the Effectiveness of Large Language Models in Automated Unit Test Generation
inferredcites →https://doi.org/10.1109/iciibms62405.2024.10792720openalex-snapshot
Leveraging Pre-Trained Large Language Models (LLMs) for On-Premises Comprehensive Automated Test Case Generation: An Empirical Study
inferredcites →https://doi.org/10.1109/icse-fose59343.2023.00008openalex-snapshot
Large Language Models for Software Engineering: Survey and Open Problems
inferredcites →https://doi.org/10.1109/icse-seip66354.2025.00042openalex-snapshot
ASTER: Natural and Multi-Language Unit Test Generation with LLMs
inferredcites →https://doi.org/10.1109/icse48619.2023.00085openalex-snapshot
CodaMosa: Escaping Coverage Plateaus in Test Generation with Pre-trained Large Language Models
inferredcites →https://doi.org/10.1109/icse48619.2023.00194openalex-snapshot
Large Language Models are Few-shot Testers: Exploring LLM-based General Bug Reproduction
inferredcites →https://doi.org/10.1109/icse55347.2025.00223openalex-snapshot
LLM-Agents Driven Automated Simulation Testing and Analysis of small Uncrewed Aerial Systems
inferredcites →https://doi.org/10.1109/icst57152.2023.00008openalex-snapshot
Software Testing Research Challenges: An Industrial Perspective
inferredcites →https://doi.org/10.1109/icstw64639.2025.10962454openalex-snapshot
A System for Automated Unit Test Generation using Large Language Models and Assessment of Generated Test Suites
inferredcites →https://doi.org/10.1109/icstw64639.2025.10962485openalex-snapshot
Mutation Testing via Iterative Large Language Model-Driven Scientific Debugging
inferredcites →https://doi.org/10.1109/iisec59749.2023.10391027openalex-snapshot
AI-Powered Software Testing: The Impact of Large Language Models on Testing Methodologies
inferredcites →https://doi.org/10.1109/qrs-c60940.2023.00013openalex-snapshot
Exploring the Capability of ChatGPT in Test Generation
inferredcites →https://doi.org/10.1109/qrs60937.2023.00029openalex-snapshot
LLM for Test Script Generation and Migration: Challenges, Capabilities, and Opportunities
inferredcites →https://doi.org/10.1109/qrs62785.2024.00031openalex-snapshot
Symbolic Execution with Test Cases Generated by Large Language Models
inferredcites →https://doi.org/10.1109/tevc.2025.3593272openalex-snapshot
CoCoEvo: Co-Evolution of Programs and Test Cases to Enhance Code Generation
inferredcites →https://doi.org/10.1109/tse.2021.3129889openalex-snapshot
How Developers Engineer Test Cases: An Observational Study
inferredcites →https://doi.org/10.1109/tse.2023.3334955openalex-snapshot
An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation
inferredcites →https://doi.org/10.1109/tse.2024.3368208openalex-snapshot
Software Testing With Large Language Models: Survey, Landscape, and Vision
inferredcites →https://doi.org/10.1109/tse.2024.3382365openalex-snapshot
ChatGPT vs SBST: A Comparative Assessment of Unit Test Suite Generation
inferredcites →https://doi.org/10.1145/3524481.3527220openalex-snapshot
Generating accurate assert statements for unit test cases using pretrained transformers
inferredcites →https://doi.org/10.1145/3624032.3624035openalex-snapshot
An initial investigation of ChatGPT unit test generation capability
inferredcites →https://doi.org/10.1145/3639478.3640024openalex-snapshot
TestSpark: IntelliJ IDEA's Ultimate Test Generation Companion
inferredcites →https://doi.org/10.1145/3639478.3643119openalex-snapshot
Automatic Generation of Test Cases based on Bug Reports: a Feasibility Study with Large Language Models
inferredcites →https://doi.org/10.1145/3643769openalex-snapshot
Code-Aware Prompting: A Study of Coverage-Guided Test Generation in Regression Setting using LLM
inferredcites →https://doi.org/10.1145/3643795.3648396openalex-snapshot
Unit Test Generation using Generative AI : A Comparative Performance Analysis of Autogeneration Tools
inferredcites →https://doi.org/10.1145/3650212.3680342openalex-snapshot
UniTSyn: A Large-Scale Dataset Capable of Enhancing the Prowess of Large Language Models for Program Testing
inferredcites →https://doi.org/10.1145/3650212.3680354openalex-snapshot
Domain Adaptation for Code Model-Based Unit Test Case Generation
inferredcites →https://doi.org/10.1145/3660783openalex-snapshot
Evaluating and Improving ChatGPT for Unit Test Generation
inferredcites →https://doi.org/10.1145/3661167.3661216openalex-snapshot
Using Large Language Models to Generate JUnit Tests: An Empirical Study
inferredcites →https://doi.org/10.1145/3663529.3663801openalex-snapshot
ChatUniTest: A Framework for LLM-Based Test Generation
inferredcites →https://doi.org/10.1145/3663529.3663839openalex-snapshot
Automated Unit Test Improvement using Large Language Models at Meta
inferredcites →https://doi.org/10.1145/3691620.3695529openalex-snapshot
On the Evaluation of Large Language Models in Unit Test Generation
inferredcites →https://doi.org/10.1145/3695988openalex-snapshot
Large Language Models for Software Engineering: A Systematic Literature Review
inferredcites →https://doi.org/10.1145/3703323.3703742openalex-snapshot
Static Program Analysis Guided LLM Based Unit Test Generation
inferredcites →https://doi.org/10.1145/3721128openalex-snapshot
Improving Deep Assertion Generation via Fine-Tuning Retrieval-Augmented Pre-Trained Language Models
inferredcites →https://doi.org/10.1145/3728951openalex-snapshot
A Large-Scale Empirical Study on Fine-Tuning Large Language Models for Unit Testing
inferredcites →https://doi.org/10.1145/3728970openalex-snapshot
STRUT: Structured Seed Case Guided Unit Test Generation for C Programs using LLMs
inferredcites →https://doi.org/10.1145/3729398openalex-snapshot
CoverUp: Effective High Coverage Test Generation for Python
inferredcites →https://doi.org/10.1145/3745765openalex-snapshot
Automated Unit Test Generation via Chain-of-Thought Prompt and Reinforcement Learning from Coverage Feedback
inferredcites →https://doi.org/10.1145/3763791openalex-snapshot
CITYWALK : Enhancing LLM-Based C++ Unit Test Generation via Project-Dependency Awareness and Language-Specific Knowledge
inferredcites →https://doi.org/10.18653/v1/2025.acl-long.20openalex-snapshot
LLM-Powered Test Case Generation for Detecting Bugs in Plausible Programs
inferredcites →https://doi.org/10.18653/v1/2025.findings-naacl.197openalex-snapshot
TESTEVAL: Benchmarking Large Language Models for Test Case Generation
inferredcites →https://doi.org/10.2139/ssrn.4724885openalex-snapshot
A3test: Assertion-Augmented Automated Test Case Generation
inferredcites →https://doi.org/10.2139/ssrn.4732705openalex-snapshot
Enhancing Large Language Models for Text-to-Testcase Generation
inferredcites →https://doi.org/10.3390/electronics14071463openalex-snapshot
Harnessing Large Language Models for Automated Software Testing: A Leap Towards Scalable Test Case Generation
inferredcites →https://doi.org/10.3390/software4010005openalex-snapshot
A Systematic Approach for Assessing Large Language Models’ Test Case Generation Capability

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Test case generation using large language models: a systematic literature review
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Semantic Tree: Leveraging Semantic UI Representation for Test Case Generation
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LLM-Assisted Cause-Effect Graph Generation for Requirements-Based Test Design
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Generative AI in Software Testing Education: Opportunities and Challenges
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Benchmarking Large Language Models for Automated Code Changes: A Systematic Review
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From Requirements to Executable Tests: A Scenario-Driven Chain-of-Thought Framework Using Large Language Models
inferred← citeshttps://doi.org/10.1109/isda70544.2026.11606005openalex-snapshot
A Multi-Layer Human-in-the-Loop Reinforcement Learning Framework for Improving LLM-Based Test Case Generation from Software Requirements
inferred← citeshttps://doi.org/10.1109/wieforum66003.2025.11482835openalex-snapshot
From Concept to Creation: Harnessing AI for Rapid Innovation and MVP Delivery
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From Prompts to Pareto Fronts: Using Code LMs as Semantic Genetic Operators for Compiler Bug Discovery
inferred← citeshttps://doi.org/10.1145/3796563.3796587openalex-snapshot
Beyond Input Maturity: Evolving LLM-Based Test Generation
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Enhancing Automated Unit Test Generation with Large Language Models: A Systematic Literature Review
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AutoHIL: LLM-Based ECU Functional Test Generation through Domain Knowledge Augmentation
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