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Whiel platform enables certified relational program verification

By PulseAugur Editorial · [1 sources] ·

Researchers have developed Whiel, a novel neurosymbolic platform designed for certified relational program verification. This system integrates with Lean and can encode complex problems related to Datalog and graph query languages. Whiel supports compositional reasoning using prophecy variables and leveled invariants, and it leverages the Vampire first-order theorem prover to discover loop invariants. Proposed solutions are translated into Lean proof certificates, ensuring a high degree of trust in the system's output for mathematically challenging problems. AI

IMPACT Introduces a new method for verifying complex relational programs with high trust, potentially impacting formal methods and software engineering.

RANK_REASON The cluster describes a new academic paper detailing a novel system for program verification. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Whiel platform enables certified relational program verification

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The cluster describes a new academic paper detailing a novel system for program verification. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Jesse Comer, Fangzhu Shen, Shuo Zhang, Mayur Naik, Sudeepa Roy, Val Tannen ·

    Whiel: A Neurosymbolic Platform for Certified Relational Program Verification

    arXiv:2611.05612v1 Announce Type: cross Abstract: We present the Whiel (a contraction of Whi(le-R)el) system for Lean-certified reasoning about imperative relational programs. The system can encode containment and equivalence problems for Datalog, its extensions with negation, an…

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