LLM-Based Test Case Generation in DBMS through Monte Carlo Tree Search
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Yujia, Zhou, Yingli, Zhang, Fangyuan, Gao, Cuiyun |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
The Prompt Alchemist: Automated LLM-Tailored Prompt Optimization for Test Case Generation
by: Gao, Shuzheng, et al.
Published: (2025)
by: Gao, Shuzheng, et al.
Published: (2025)
Schedule-and-Calibrate: Utility-Guided Multi-Task Reinforcement Learning for Code LLMs
by: Chen, Yujia, et al.
Published: (2026)
by: Chen, Yujia, et al.
Published: (2026)
Evaluating LLM-Based 0-to-1 Software Generation in End-to-End CLI Tool Scenarios
by: Hu, Ruida, et al.
Published: (2026)
by: Hu, Ruida, et al.
Published: (2026)
Search-Based LLMs for Code Optimization
by: Gao, Shuzheng, et al.
Published: (2024)
by: Gao, Shuzheng, et al.
Published: (2024)
Benchmarking Multimodal LLMs on Code Generation for Complex Interactive Webpages
by: Wu, Fan, et al.
Published: (2026)
by: Wu, Fan, et al.
Published: (2026)
AXIOM: Benchmarking LLM-as-a-Judge for Code via Rule-Based Perturbation and Multisource Quality Calibration
by: Wang, Ruiqi, et al.
Published: (2025)
by: Wang, Ruiqi, et al.
Published: (2025)
Trae Agent: An LLM-based Agent for Software Engineering with Test-time Scaling
by: Trae Research Team, et al.
Published: (2025)
by: Trae Research Team, et al.
Published: (2025)
Vul-R2: A Reasoning LLM for Automated Vulnerability Repair
by: Wen, Xin-Cheng, et al.
Published: (2025)
by: Wen, Xin-Cheng, et al.
Published: (2025)
EvoGPT: Leveraging LLM-Driven Seed Diversity to Improve Search-Based Test Suite Generation
by: Broide, Lior, et al.
Published: (2025)
by: Broide, Lior, et al.
Published: (2025)
Prism: Dynamic and Flexible Benchmarking of LLMs Code Generation with Monte Carlo Tree Search
by: Majdinasab, Vahid, et al.
Published: (2025)
by: Majdinasab, Vahid, et al.
Published: (2025)
Klear-CodeTest: Scalable Test Case Generation for Code Reinforcement Learning
by: Fu, Jia, et al.
Published: (2025)
by: Fu, Jia, et al.
Published: (2025)
Can LLMs Replace Human Evaluators? An Empirical Study of LLM-as-a-Judge in Software Engineering
by: Wang, Ruiqi, et al.
Published: (2025)
by: Wang, Ruiqi, et al.
Published: (2025)
Automated Test-Case Generation for REST APIs Using Model Inference Search Heuristic
by: Cao, Clinton, et al.
Published: (2024)
by: Cao, Clinton, et al.
Published: (2024)
AEGIS: An Agent-based Framework for General Bug Reproduction from Issue Descriptions
by: Wang, Xinchen, et al.
Published: (2024)
by: Wang, Xinchen, et al.
Published: (2024)
Data Dependency-Aware Code Generation from Enhanced UML Sequence Diagrams
by: Mao, Wenxin, et al.
Published: (2025)
by: Mao, Wenxin, et al.
Published: (2025)
Bias Testing and Mitigation in LLM-based Code Generation
by: Huang, Dong, et al.
Published: (2023)
by: Huang, Dong, et al.
Published: (2023)
Rethinking the Value of Agent-Generated Tests for LLM-Based Software Engineering Agents
by: Chen, Zhi, et al.
Published: (2026)
by: Chen, Zhi, et al.
Published: (2026)
Evaluating Repository-level Software Documentation via Question Answering and Feature-Driven Development
by: Wang, Xinchen, et al.
Published: (2026)
by: Wang, Xinchen, et al.
Published: (2026)
Evaluating LLM-Based Test Generation Under Software Evolution
by: Haroon, Sabaat, et al.
Published: (2026)
by: Haroon, Sabaat, et al.
Published: (2026)
Weakly Supervised Vulnerability Localization via Multiple Instance Learning
by: Gu, Wenchao, et al.
Published: (2025)
by: Gu, Wenchao, et al.
Published: (2025)
Call-Chain-Aware LLM-Based Test Generation for Java Projects
by: Wang, Guancheng, et al.
Published: (2026)
by: Wang, Guancheng, et al.
Published: (2026)
Static Program Analysis Guided LLM Based Unit Test Generation
by: Roychowdhury, Sujoy, et al.
Published: (2025)
by: Roychowdhury, Sujoy, et al.
Published: (2025)
Hallucination in LLM-Based Code Generation: An Automotive Case Study
by: Pavel, Marc, et al.
Published: (2025)
by: Pavel, Marc, et al.
Published: (2025)
Layered and Staged Monte Carlo Tree Search for SMT Strategy Synthesis
by: Lu, Zhengyang, et al.
Published: (2024)
by: Lu, Zhengyang, et al.
Published: (2024)
An Empirical Study of Knowledge Distillation for Code Understanding Tasks
by: Wang, Ruiqi, et al.
Published: (2025)
by: Wang, Ruiqi, et al.
Published: (2025)
VerilogReader: LLM-Aided Hardware Test Generation
by: Ma, Ruiyang, et al.
Published: (2024)
by: Ma, Ruiyang, et al.
Published: (2024)
Explicating Tacit Regulatory Knowledge from LLMs to Auto-Formalize Requirements for Compliance Test Case Generation
by: Xue, Zhiyi, et al.
Published: (2026)
by: Xue, Zhiyi, et al.
Published: (2026)
SWE-Fuse: Empowering Software Agents via Issue-free Trajectory Learning and Entropy-aware RLVR Training
by: Wen, Xin-Cheng, et al.
Published: (2026)
by: Wen, Xin-Cheng, et al.
Published: (2026)
SPENCER: Self-Adaptive Model Distillation for Efficient Code Retrieval
by: Gu, Wenchao, et al.
Published: (2025)
by: Gu, Wenchao, et al.
Published: (2025)
Boosting Vulnerability Detection of LLMs via Curriculum Preference Optimization with Synthetic Reasoning Data
by: Wen, Xin-Cheng, et al.
Published: (2025)
by: Wen, Xin-Cheng, et al.
Published: (2025)
EvalSVA: Multi-Agent Evaluators for Next-Gen Software Vulnerability Assessment
by: Wen, Xin-Cheng, et al.
Published: (2024)
by: Wen, Xin-Cheng, et al.
Published: (2024)
Efficient Test Data Generation for MC/DC with OCL and Search
by: Sartaj, Hassan, et al.
Published: (2024)
by: Sartaj, Hassan, et al.
Published: (2024)
The Future of Software Testing: AI-Powered Test Case Generation and Validation
by: Baqar, Mohammad, et al.
Published: (2024)
by: Baqar, Mohammad, et al.
Published: (2024)
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)
Tests as Prompt: A Test-Driven-Development Benchmark for LLM Code Generation
by: Cui, Yi
Published: (2025)
by: Cui, Yi
Published: (2025)
RESTestBench: A Benchmark for Evaluating the Effectiveness of LLM-Generated REST API Test Cases from NL Requirements
by: Kogler, Leon, et al.
Published: (2026)
by: Kogler, Leon, et al.
Published: (2026)
Validating LLM-Generated Programs with Metamorphic Prompt Testing
by: Wang, Xiaoyin, et al.
Published: (2024)
by: Wang, Xiaoyin, et al.
Published: (2024)
Can LLM Generate Regression Tests for Software Commits?
by: Liu, Jing, et al.
Published: (2025)
by: Liu, Jing, et al.
Published: (2025)
Revisit Self-Debugging with Self-Generated Tests for Code Generation
by: Chen, Xiancai, et al.
Published: (2025)
by: Chen, Xiancai, et al.
Published: (2025)
Benchmarking LLMs for Fine-Grained Code Review with Enriched Context in Practice
by: Hu, Ruida, et al.
Published: (2025)
by: Hu, Ruida, et al.
Published: (2025)
Similar Items
-
The Prompt Alchemist: Automated LLM-Tailored Prompt Optimization for Test Case Generation
by: Gao, Shuzheng, et al.
Published: (2025) -
Schedule-and-Calibrate: Utility-Guided Multi-Task Reinforcement Learning for Code LLMs
by: Chen, Yujia, et al.
Published: (2026) -
Evaluating LLM-Based 0-to-1 Software Generation in End-to-End CLI Tool Scenarios
by: Hu, Ruida, et al.
Published: (2026) -
Search-Based LLMs for Code Optimization
by: Gao, Shuzheng, et al.
Published: (2024) -
Benchmarking Multimodal LLMs on Code Generation for Complex Interactive Webpages
by: Wu, Fan, et al.
Published: (2026)