HMC: Verifying Functional Programs Using Abstract Interpreters

Ranjit Jhala, Rupak Majumdar, and Andrey Rybalchenko.

We present Hindley-Milner-Cousots (HMC), an algorithm that allows any interprocedural analysis for first-order imperative programs to be used to ver- ify safety properties of typed higher-order functional programs. HMC works as follows. First, it uses the type structure of the functional program to generate a set of logical refinement constraints whose satisfaction implies the safety of the source program. Next, it transforms the logical refinement constraints into a simple first-order imperative program that is safe iff the constraints are satisfiable. Thus, in one swoop, HMC makes tools for invariant generation, e.g., based on abstract domains, predicate abstraction, counterexample-guided refinement, and Craig in- terpolation be directly applicable to verify safety properties of modern functional languages in a fully automatic manner. We have implemented HMC and describe preliminary experimental results using two imperative checkers – ARMC and INTERPROC– to verify OCAML programs. Thus, by composing type-based reasoning grounded in program syntax and state-based reasoning grounded in abstract interpretation, HMC opens the door to automatic verification of programs written in modern programming languages.

Proceedings of the 23rd Intl. Conference on Computer-Aided Verification (CAV), 2011.


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