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Automated Unit Test Generation via Chain-of-Thought Prompt and Reinforcement Learning from Coverage Feedback
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Test-data generation using genetic algorithms
inferredcites →https://doi.org/10.1007/978-3-642-04898-2_616openalex-snapshot
Wilcoxon-Signed-Rank Test
inferredcites →https://doi.org/10.1007/bf00992696openalex-snapshot
Simple statistical gradient-following algorithms for connectionist reinforcement learning
inferredcites →https://doi.org/10.1016/j.csda.2023.107858openalex-snapshot
GP-BART: A novel Bayesian additive regression trees approach using Gaussian processes
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.scico.2007.01.015openalex-snapshot
The Daikon system for dynamic detection of likely invariants
inferredcites →https://doi.org/10.1109/ase.2013.6693084openalex-snapshot
Characteristic studies of loop problems for structural test generation via symbolic execution
inferredcites →https://doi.org/10.1109/icse-seip.2017.27openalex-snapshot
An Industrial Evaluation of Unit Test Generation: Finding Real Faults in a Financial Application
inferredcites →https://doi.org/10.1109/icse.2007.37openalex-snapshot
Feedback-Directed Random Test Generation
inferredcites →https://doi.org/10.1109/icse43902.2021.00041openalex-snapshot
Studying the Usage of Text-To-Text Transfer Transformer to Support Code-Related Tasks
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/icse48619.2023.00178openalex-snapshot
Learning Deep Semantics for Test Completion
inferredcites →https://doi.org/10.1109/iwast.2012.6228988openalex-snapshot
Benefits and limitations of automated software testing: Systematic literature review and practitioner survey
inferredcites →https://doi.org/10.1109/ms.2006.91openalex-snapshot
A survey of unit testing practices
inferredcites →https://doi.org/10.1109/tse.2009.71openalex-snapshot
A Theoretical and Empirical Study of Search-Based Testing: Local, Global, and Hybrid Search
inferredcites →https://doi.org/10.1145/2610384.2628055openalex-snapshot
Defects4J: a database of existing faults to enable controlled testing studies for Java programs
inferredcites →https://doi.org/10.1145/3238147.3238183openalex-snapshot
A large-scale study of test coverage evolution
inferredcites →https://doi.org/10.1145/3368089.3417943openalex-snapshot
BugsInPy: a database of existing bugs in Python programs to enable controlled testing and debugging studies
inferredcites →https://doi.org/10.1145/3377811.3380429openalex-snapshot
On learning meaningful assert statements for unit test cases
inferredcites →https://doi.org/10.1145/3463274.3463335openalex-snapshot
Test Smell Detection Tools: A Systematic Mapping Study
inferredcites →https://doi.org/10.1145/3510003.3510149openalex-snapshot
Automated assertion generation via information retrieval and its integration with deep learning
inferredcites →https://doi.org/10.1145/3514221.3526155openalex-snapshot
LearnedSQLGen: Constraint-aware SQL Generation using Reinforcement Learning
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Call Me Maybe: Using NLP to Automatically Generate Unit Test Cases Respecting Temporal Constraints
inferredcites →https://doi.org/10.1145/3560815openalex-snapshot
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
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/10.1145/3672459openalex-snapshot
Self-Collaboration Code Generation via ChatGPT
inferredcites →https://doi.org/10.1145/3715778openalex-snapshot
Less Is More: On the Importance of Data Quality for Unit Test Generation
inferredcites →https://doi.org/10.48550/arxiv.2305.04207openalex-snapshot
No More Manual Tests? Evaluating and Improving ChatGPT for Unit Test Generation
inferredcites →https://doi.org/10.48550/arxiv.2305.06161openalex-snapshot
StarCoder: may the source be with you!
inferredcites →https://doi.org/10.48550/arxiv.2307.09288openalex-snapshot
Behavioral Safety and Context Retention of Large Language Models in a Longitudinal ICU Simulation under Offline Conditions
inferredcites →https://doi.org/10.48550/arxiv.2308.12950openalex-snapshot
Code Llama: Open Foundation Models for Code
inferredcites →https://doi.org/10.6084/m9.figshare.28235750openalex-snapshot
Automated Unit Test Generation via Chain of Thought Prompt and Reinforcement Learning
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-032-31755-1_17openalex-snapshot
Reasoning LLM Unit Test Generation Based on Tree-of-Thoughts Considering Branch Merging
inferred← citeshttps://doi.org/10.1007/s10664-026-10901-8openalex-snapshot
CDBench: Benchmarking the mutation testing capabilities of LLMs with code defenders
inferred← citeshttps://doi.org/10.1109/aitest70988.2026.00021openalex-snapshot
Improving LLM-Based Unit Test Generation Through Root-Cause-Driven Prompt Design
inferred← citeshttps://doi.org/10.1145/3774748.3787638openalex-snapshot
Reinforcement Learning from Testing Targets for Effective SLM Test Generation
inferred← citeshttps://doi.org/10.1145/3797096openalex-snapshot
IntentTester: Intent-Driven Multi-agent Framework for Cross-Library Test Migration
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/10.1145/3832162openalex-snapshot
From Greedy Steps to Global Optimization: Learning Sequential Test Suite Generation
inferred← citeshttps://doi.org/10.1145/3832783.3844564openalex-snapshot
Correct According to Whom? Auditing What LLM-Generated Tests Actually Check
inferred← citeshttps://doi.org/10.33411/ijist/1809openalex-snapshot
A Systematic Literature Review on Automated Unit Test Generation Techniques, Algorithms, and Tools
inferred← citeshttps://doi.org/10.3389/frai.2025.1695965openalex-snapshot
The Test Pyramid 2.0: AI-assisted testing across the pyramid
inferred← citeshttps://doi.org/10.3390/make7030097openalex-snapshot
A Review of Large Language Models for Automated Test Case Generation
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