Systematically generating tests that would have caught Anthropic's top‑K bug
4 months ago
- #bugs
- #automation
- #testing
- Most testing strategies miss rare edge cases until customers find them in production.
- The system automatically generates targeted unit tests for rare bugs, including Anthropic’s approximate top-K bug.
- Fractional proof decomposition is used to generate unit tests without relying on bug reproducer code.
- The process involves identifying and encoding the theorem as a PBT (Property-Based Test).
- The theorem is recursively decomposed into smaller theorems, each encoded as PBTs.
- Decomposition continues until the input space is small enough to efficiently catch rare bugs.
- Fractional proofs scale compute logarithmically with the rarity of the bug, making it efficient.
- The approach can be extended to real-world codebases and cluster behaviors.
- Theorem is training models to automatically reason about program correctness.