AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
How an abstract interpreter modeled on Goblint computes its answers, and how Isabelle/HOL proves those answers cover every run.
Translation pending
Developer toolsIsabelle · PythonGitHub @ManuelLerchnerOnlineOwner unconfirmed
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A Generic, Executable, and Machine-Checked Framework for Interprocedural Abstract Interpretation in Isabelle/HOL
Taken from the repository README
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A Verified Goblint-Style Static Analysis Pipeline in Isabelle/HOL
Master's thesis. Manuel Lerchner, supervised by @AlexandraGrass
Voblint is a machine-checked Isabelle/HOL framework for building, running and
verifying interprocedural abstract interpreters, modelled on Goblint's D/G
architecture. It chains verified CFG compilation, activation-local operational
semantics, executable equation generation, and a vendored verified top-down
solver into one soundness statement about the analyzer's own output.Read the full README ↗The full README is unavailable right now. Read it at the original link. The saved excerpt is shown below.
A Verified Goblint-Style Static Analysis Pipeline in Isabelle/HOL
Master's thesis. Manuel Lerchner, supervised by @AlexandraGrass
Voblint is a machine-checked Isabelle/HOL framework for building, running and
verifying interprocedural abstract interpreters, modelled on Goblint's D/G
architecture. It chains verified CFG compilation, activation-local operational
semantics, executable equation generation, and a vendored verified top-down
solver into one soundness statement about the analyzer's own output.Read the full README ↗