Induction duality: primal-dual search for invariants

Author:

Padon Oded1,Wilcox James R.2,Koenig Jason R.3,McMillan Kenneth L.4,Aiken Alex3

Affiliation:

1. VMware Research, USA / Stanford University, USA

2. Certora, USA

3. Stanford University, USA

4. University of Texas at Austin, USA

Abstract

Many invariant inference techniques reason simultaneously about states and predicates, and it is well-known that these two kinds of reasoning are in some sense dual to each other. We present a new formal duality between states and predicates, and use it to derive a new primal-dual invariant inference algorithm. The new induction duality is based on a notion of provability by incremental induction that is formally dual to reachability, and the duality is surprisingly symmetric. The symmetry allows us to derive the dual of the well-known Houdini algorithm, and by combining Houdini with its dual image we obtain primal-dual Houdini , the first truly primal-dual invariant inference algorithm. An early prototype of primal-dual Houdini for the domain of distributed protocol verification can handle difficult benchmarks from the literature.

Funder

NSF

Publisher

Association for Computing Machinery (ACM)

Subject

Safety, Risk, Reliability and Quality,Software

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