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A Large-Scale Empirical Study on Fine-Tuning Large Language Models for Unit Testing
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s10009-014-0355-9openalex-snapshot
Automated test generation using model checking: an industrial evaluation
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The second international conference
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Test case prioritization using partial attention
inferredcites →https://doi.org/10.1109/ase.2015.49openalex-snapshot
GRT: Program-Analysis-Guided Random Testing (T)
inferredcites →https://doi.org/10.1109/c-m.1976.218669openalex-snapshot
2nd International Conference on Software Engineering
inferredcites →https://doi.org/10.1109/issre.2014.11openalex-snapshot
A Survey on Unit Testing Practices and Problems
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Pre-Trained Model-Based Automated Software Vulnerability Repair: How Far are We?
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An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation
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Software Testing With Large Language Models: Survey, Landscape, and Vision
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Combining unit-level symbolic execution and system-level concrete execution for testing nasa software
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Automated assertion generation via information retrieval and its integration with deep learning
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Revisiting the Identification of the Co-evolution of Production and Test Code
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A Survey of Learning-based Automated Program Repair
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Exploring Automated Assertion Generation via Large Language Models
inferredcites →https://doi.org/10.3115/1613715openalex-snapshot
Proceedings of the Conference on Empirical Methods in Natural Language Processing - EMNLP '08
inferredcites →https://doi.org/10.48550/arxiv.1910.10683openalex-snapshot
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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FSTG: Few-Shot Test Case Generation from Use Case Specifications Using Large Language Models
inferred← citeshttps://doi.org/10.1007/s10664-026-10901-8openalex-snapshot
CDBench: Benchmarking the mutation testing capabilities of LLMs with code defenders
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A survey on large language models for software engineering
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Automated software engineering knowledge transfer: A case study on small and medium-sized software enterprises in Thailand
inferred← citeshttps://doi.org/10.1108/el-11-2025-0464openalex-snapshot
Detection and interpretability analysis of quotation errors by large language models
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LLM-Based Test Oracles: Source-of-Authority Taxonomy—A Systematic Literature Review
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The Impact of Fine-Tuning Large Language Models on Automated Program Repair
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Exploratory Study on LLMs for Test Amplification in Solidity
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Reinforcement Learning from Testing Targets for Effective SLM Test Generation
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Enhancing Automated Unit Test Generation with Large Language Models: A Systematic Literature Review
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TestAgent: A Multi-Agent LLM Framework for Repository-Level Unit Test Generation
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SGAgent: Suggestion-Guided LLM-Based Multi-Agent Framework for Repository-Level Software Repair
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Fusing LLMs and Genetic Algorithm for High-Quality Unit Test Generation
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From Greedy Steps to Global Optimization: Learning Sequential Test Suite Generation
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Towards More Realistic Assertion Generation under Mixed-Assertion Scenario
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On the Evaluation of Large Language Models in Unit Test Evolution (Experience Paper)
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From Runnable to Shippable: Multi-Agent Test-Driven Development for Generating Full-Stack Web Applications from Requirements
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Test Case Generation Using Large Language Models: Review, Classification and Challenges
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A Review of Large Language Models for Automated Test Case Generation
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