The Practical Limitations of Formally Verified Code: When Mathematical Proofs Fail in Real Systems
By
todsacerdoti
An everything bagel for the brain. Substantive, layered, well-seasoned.
Summary
This article explores the practical limitations of formally verified code, explaining how even mathematically proven 'correct' code can fail in real-world applications. It discusses three key ways formal verification can go wrong: when the specification itself is incorrect, when the verification process has flaws, and when the verified code interacts with unverified components. The piece emphasizes that formal verification provides mathematical certainty about code meeting its specifications, but doesn't guarantee the specifications themselves are correct or that the system will work as intended in practice.
Key quotes
· 4 pulled"Correct" doesn't mean "correct" when correctly using "correct"
Formal verification provides mathematical certainty about code meeting its specifications, but doesn't guarantee the specifications themselves are correct
Even mathematically proven 'correct' code can fail in real-world applications
The verification process itself can contain flaws that undermine the proof
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