arXiv (All)
open access
Spec-Driven PBT: Deriving Semantic Invariants from Code Specifications for Agentic Property-based Testing
Software is increasingly written by AI agents that produce an implementation from a natural language specification, a practice known as agentic coding. Code is now produced faster than it can be reviewed, and has been shown to exhibit its own characteristic failure patterns. Property-based testing (
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Spec-Driven PBT: Deriving Semantic Invariants from Code Specifications for Agentic Property-based Testing#1653052
- PBT-Bench: Benchmarking AI Agents on Property-Based Testing#1217464
- Practical Implementation Report on Introducing Spec-Driven Development Using AI Agents in Software Development PBL#622599
- AI-Driven Test Automation Frameworks for the Modern Software Quality Engineering#408663
- Beyond Component Testing: Validating Agentic AI Systems#422295
Record · ID 1659501
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive