PBT-Bench: Benchmarking AI Agents on Property-Based Testing
cs.SE, cs.AI
Submitted: 2026-05-13
Updated: 2026-10-06
Code: https://github.com/ElliotXinqiWang/PBTbench
Terminology
Sources
- Evaluating Large Language Models Trained on Code
- Effective LLM Code Refinement via Property-Oriented and Structurally Minimal Feedback
- SWE-EVO: Benchmarking Coding Agents in Long-Horizon Software Evolution Scenarios
- TestExplora: Benchmarking LLMs for Proactive Bug Discovery via Repository-Level Test Generation
- Agentic Property-Based Testing: Finding Bugs Across the Python Ecosystem
- Can Large Language Models Write Good Property-Based Tests?
Related papers
- Falsification-Based Verification of LLM-Generated Optimization Models: Sound Test Batteries and Their Detection Limits
- GitSkills: A Dataset of Agent Skills on GitHub
- SABER: Benchmarking Operational Safety of LLM Coding Agents in Stateful Project Workspaces
- PackMonitor: Enabling Zero Package Hallucinations Through Decoding-Time Monitoring
- IntentCoding: Amplifying User Intent in Code Generation
- Incentives and Outcomes in Bug Bounties