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Paper · arXiv

Beyond Type-checking: Towards Holistic Evaluation of Formal Specification Generation

When generating verifiable code, natural language requirements are mapped to machine checked code using LLMs and agentic workflows. A crucial component of this pipeline is specification generation (SpecGen), which produces a formal contract against which an agent can prove implementation correctness. Proof generation can obtain deterministic feedback from a theorem prover, but SpecGen lacks a definitive check that a generated specification captures the user's intent. A checked proof can therefore establish correctness against a specification that misrepresents the intended behaviour. We take a step towards holistic SpecGen evaluation with a unified dataset assembled from $350$ existing Le...

AuthorsSrijith Nair, Aditya Vempaty, Jia Liu et al.
Primary categorycs.SE
Published7 October 2026
Last updated at source7 October 2026
cs.SEcs.AI
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