Saved in:
| Main Authors: | Yin, Xin, Ni, Chao, Li, Xinrui, Chen, Liushan, Ma, Guojun, Yang, Xiaohu |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2501.07425 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CasModaTest: A Cascaded and Model-agnostic Self-directed Framework for Unit Test Generation
by: Ni, Chao, et al.
Published: (2024)
by: Ni, Chao, et al.
Published: (2024)
Improving the Ability of Pre-trained Language Model by Imparting Large Language Model's Experience
by: Yin, Xin, et al.
Published: (2024)
by: Yin, Xin, et al.
Published: (2024)
What You See Is What You Get: Attention-based Self-guided Automatic Unit Test Generation
by: Yin, Xin, et al.
Published: (2024)
by: Yin, Xin, et al.
Published: (2024)
Detecting LLM-generated Code with Subtle Modification by Adversarial Training
by: Yin, Xin, et al.
Published: (2025)
by: Yin, Xin, et al.
Published: (2025)
RepoTransAgent: Multi-Agent LLM Framework for Repository-Aware Code Translation
by: Guan, Ziqi, et al.
Published: (2025)
by: Guan, Ziqi, et al.
Published: (2025)
Automated Unit Test Refactoring
by: Gao, Yi, et al.
Published: (2024)
by: Gao, Yi, et al.
Published: (2024)
Learning to Align Human Code Preferences
by: Yin, Xin, et al.
Published: (2025)
by: Yin, Xin, et al.
Published: (2025)
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)
An Empirical Study of Vulnerable Package Dependencies in LLM Repositories
by: Liu, Shuhan, et al.
Published: (2025)
by: Liu, Shuhan, et al.
Published: (2025)
No More Manual Tests? Evaluating and Improving ChatGPT for Unit Test Generation
by: Yuan, Zhiqiang, et al.
Published: (2023)
by: Yuan, Zhiqiang, et al.
Published: (2023)
CATCODER: Repository-Level Code Generation with Relevant Code and Type Context
by: Pan, Zhiyuan, et al.
Published: (2024)
by: Pan, Zhiyuan, et al.
Published: (2024)
UTFix: Change Aware Unit Test Repairing using LLM
by: Rahman, Shanto, et al.
Published: (2025)
by: Rahman, Shanto, et al.
Published: (2025)
Multitask-based Evaluation of Open-Source LLM on Software Vulnerability
by: Yin, Xin, et al.
Published: (2024)
by: Yin, Xin, et al.
Published: (2024)
Less is More: On the Importance of Data Quality for Unit Test Generation
by: Zhang, Junwei, et al.
Published: (2025)
by: Zhang, Junwei, et al.
Published: (2025)
Test smells in LLM-Generated Unit Tests
by: Ouédraogo, Wendkûuni C., et al.
Published: (2024)
by: Ouédraogo, Wendkûuni C., et al.
Published: (2024)
ThinkRepair: Self-Directed Automated Program Repair
by: Yin, Xin, et al.
Published: (2024)
by: Yin, Xin, et al.
Published: (2024)
RESTORE: Retrospective Fault Localization Enhancing Automated Program Repair
by: Xu, Tongtong, et al.
Published: (2019)
by: Xu, Tongtong, et al.
Published: (2019)
CITYWALK: Enhancing LLM-Based C++ Unit Test Generation via Project-Dependency Awareness and Language-Specific Knowledge
by: Zhang, Yuwei, et al.
Published: (2025)
by: Zhang, Yuwei, et al.
Published: (2025)
Rectifier: Code Translation with Corrector via LLMs
by: Yin, Xin, et al.
Published: (2024)
by: Yin, Xin, et al.
Published: (2024)
ContextModule: Improving Code Completion via Repository-level Contextual Information
by: Guan, Zhanming, et al.
Published: (2024)
by: Guan, Zhanming, et al.
Published: (2024)
YATE: The Role of Test Repair in LLM-Based Unit Test Generation
by: Konstantinou, Michael, et al.
Published: (2025)
by: Konstantinou, Michael, et al.
Published: (2025)
A Benchmark for Evaluating Repository-Level Code Agents with Intermediate Reasoning on Feature Addition Task
by: Liu, Shuhan, et al.
Published: (2026)
by: Liu, Shuhan, et al.
Published: (2026)
HumanEvo: An Evolution-aware Benchmark for More Realistic Evaluation of Repository-level Code Generation
by: Zheng, Dewu, et al.
Published: (2024)
by: Zheng, Dewu, et al.
Published: (2024)
PR-Aware Automated Unit Test Generation: Challenges and Opportunities
by: Haratian, Vahid, et al.
Published: (2026)
by: Haratian, Vahid, et al.
Published: (2026)
Test vs Mutant: Adversarial LLM Agents for Robust Unit Test Generation
by: Chang, Pengyu, et al.
Published: (2026)
by: Chang, Pengyu, et al.
Published: (2026)
LLM-based Unit Test Generation via Property Retrieval
by: Zhang, Zhe, et al.
Published: (2024)
by: Zhang, Zhe, et al.
Published: (2024)
Contextual API Completion for Unseen Repositories Using LLMs
by: Nashid, Noor, et al.
Published: (2024)
by: Nashid, Noor, et al.
Published: (2024)
Reflective Unit Test Generation for Precise Type Error Detection with Large Language Models
by: Yang, Chen, et al.
Published: (2025)
by: Yang, Chen, et al.
Published: (2025)
Distinguishing LLM-generated from Human-written Code by Contrastive Learning
by: Xu, Xiaodan, et al.
Published: (2024)
by: Xu, Xiaodan, et al.
Published: (2024)
KTester: Leveraging Domain and Testing Knowledge for More Effective LLM-based Test Generation
by: Li, Anji, et al.
Published: (2025)
by: Li, Anji, et al.
Published: (2025)
A Preference-Driven Methodology for High-Quality Solidity Code Generation
by: Peng, Zhiyuan, et al.
Published: (2025)
by: Peng, Zhiyuan, et al.
Published: (2025)
Unit Test Update through LLM-Driven Context Collection and Error-Type-Aware Refinement
by: Zhang, Yuanhe, et al.
Published: (2025)
by: Zhang, Yuanhe, et al.
Published: (2025)
Fine-grained Testing for Autonomous Driving Software: a Study on Autoware with LLM-driven Unit Testing
by: Wang, Wenhan, et al.
Published: (2025)
by: Wang, Wenhan, et al.
Published: (2025)
BugForge: Constructing and Utilizing DBMS Bug Repository to Enhance DBMS Testing
by: Li, Dawei, et al.
Published: (2026)
by: Li, Dawei, et al.
Published: (2026)
HITS: High-coverage LLM-based Unit Test Generation via Method Slicing
by: Wang, Zejun, et al.
Published: (2024)
by: Wang, Zejun, et al.
Published: (2024)
Architecture-Aware Multi-Design Generation for Repository-Level Feature Addition
by: Liu, Mingwei, et al.
Published: (2026)
by: Liu, Mingwei, et al.
Published: (2026)
TestART: Improving LLM-based Unit Testing via Co-evolution of Automated Generation and Repair Iteration
by: Gu, Siqi, et al.
Published: (2024)
by: Gu, Siqi, et al.
Published: (2024)
Test Wars: A Comparative Study of SBST, Symbolic Execution, and LLM-Based Approaches to Unit Test Generation
by: Abdullin, Azat, et al.
Published: (2025)
by: Abdullin, Azat, et al.
Published: (2025)
SolEval: Benchmarking Large Language Models for Repository-level Solidity Code Generation
by: Peng, Zhiyuan, et al.
Published: (2025)
by: Peng, Zhiyuan, et al.
Published: (2025)
TestExplora: Benchmarking LLMs for Proactive Bug Discovery via Repository-Level Test Generation
by: Liu, Steven, et al.
Published: (2026)
by: Liu, Steven, et al.
Published: (2026)
Similar Items
-
CasModaTest: A Cascaded and Model-agnostic Self-directed Framework for Unit Test Generation
by: Ni, Chao, et al.
Published: (2024) -
Improving the Ability of Pre-trained Language Model by Imparting Large Language Model's Experience
by: Yin, Xin, et al.
Published: (2024) -
What You See Is What You Get: Attention-based Self-guided Automatic Unit Test Generation
by: Yin, Xin, et al.
Published: (2024) -
Detecting LLM-generated Code with Subtle Modification by Adversarial Training
by: Yin, Xin, et al.
Published: (2025) -
RepoTransAgent: Multi-Agent LLM Framework for Repository-Aware Code Translation
by: Guan, Ziqi, et al.
Published: (2025)