On the public citation graph
STRUT: Structured Seed Case Guided Unit Test Generation for C Programs using LLMs
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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/s10664-022-10155-0openalex-snapshot
Basic block coverage for search-based unit testing and crash reproduction
inferredcites →https://doi.org/10.1016/j.infsof.2024.107565openalex-snapshot
A3Test: Assertion-Augmented Automated Test case generation
inferredcites →https://doi.org/10.1109/ase.2015.49openalex-snapshot
GRT: Program-Analysis-Guided Random Testing (T)
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/icst.2015.7102580openalex-snapshot
Achievements, Open Problems and Challenges for Search Based Software Testing
inferredcites →https://doi.org/10.1109/icst.2015.7102609openalex-snapshot
Understanding the Test Automation Culture of App Developers
inferredcites →https://doi.org/10.1109/icst53961.2022.00046openalex-snapshot
CITRUS: Automated Unit Testing Tool for Real-world C++ Programs
inferredcites →https://doi.org/10.1109/issre.2014.11openalex-snapshot
A Survey on Unit Testing Practices and Problems
inferredcites →https://doi.org/10.1109/ms.2006.91openalex-snapshot
A survey of unit testing practices
inferredcites →https://doi.org/10.1109/tse.2014.2363479openalex-snapshot
Instance Generator and Problem Representation to Improve Object Oriented Code Coverage
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.2024.3382365openalex-snapshot
ChatGPT vs SBST: A Comparative Assessment of Unit Test Suite Generation
inferredcites →https://doi.org/10.1145/267580.267590openalex-snapshot
Software unit test coverage and adequacy
inferredcites →https://doi.org/10.1145/2786805.2786838openalex-snapshot
Modeling readability to improve unit tests
inferredcites →https://doi.org/10.1145/3597503.3639187openalex-snapshot
Using an LLM to Help With Code Understanding
inferredcites →https://doi.org/10.1145/3611643.3617850openalex-snapshot
LLM-Based Code Generation Method for Golang Compiler Testing
inferredcites →https://doi.org/10.1145/3624745openalex-snapshot
Search-Based Software Testing Driven by Automatically Generated and Manually Defined Fitness Functions
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/10.1145/3650212.3680354openalex-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/10.1145/3663529.3663801openalex-snapshot
ChatUniTest: A Framework for LLM-Based Test Generation
inferredcites →https://doi.org/10.1145/3691620.3695501openalex-snapshot
HITS: High-coverage LLM-based Unit Test Generation via Method Slicing
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.703openalex-snapshot
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
inferredcites →https://doi.org/10.23919/csms.2022.0027openalex-snapshot
Search-Based Software Test Data Generation for Path Coverage Based on a Feedback-Directed Mechanism
inferredcites →https://doi.org/10.48550/arxiv.2311.08588openalex-snapshot
CodeScope: An Execution-based Multilingual Multitask Multidimensional Benchmark for Evaluating LLMs on Code Understanding and Generation
inferredcites →https://doi.org/10.48550/arxiv.2408.03095openalex-snapshot
TestART: Improving LLM-based Unit Testing via Co-evolution of Automated Generation and Repair Iteration
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1016/j.infsof.2026.108098openalex-snapshot
MACO: Multi-agent collaborative optimization for unit test case generation
inferred← citeshttps://doi.org/10.1109/sse72781.2026.00011openalex-snapshot
ChatPerfTest: A framework for LLM-based JMH microbenchmark generation
inferred← citeshttps://doi.org/10.1145/3774748.3787612openalex-snapshot
WiseUT: An Intelligent Framework for Unit Test Generation
inferred← citeshttps://doi.org/10.1145/3796263.3796265openalex-snapshot
Artificial intelligence tools in code quality analysis:A systematic review
inferred← citeshttps://doi.org/10.1145/3798251openalex-snapshot
Beyond Coverage: Automatic Test Suite Augmentation for Enhanced Effectiveness using Large Language Models
inferred← citeshttps://doi.org/10.1145/3802827openalex-snapshot
Enhancing Automated Unit Test Generation with Large Language Models: A Systematic Literature Review
inferred← citeshttps://doi.org/10.1145/3832192openalex-snapshot
Uncovering Business Logic Bugs via Semantics-Driven Unit Test Generation (Experience Paper)
inferred← citeshttps://doi.org/10.3390/info17010073openalex-snapshot
Foundation Models in Software Engineering: A Taxonomy, Systematic Review, and In-Depth Analysis of Testing Support
inferred← citeshttps://doi.org/10.3390/make7030097openalex-snapshot
A Review of Large Language Models for Automated Test Case Generation
inferred← citeshttps://doi.org/10.5753/semish.2026.20966openalex-snapshot
Aplicação de Large Language Models na Geração Automática de Testes de Software: Uma Revisão Sistemática da Literatura
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