Modularity for decidability of deductive verification with applications to distributed systems

Marcelo Taube; Giuliano Losa; Kenneth L. McMillan; Oded Padon; Mooly Sagiv; Sharon Shoham; James R. Wilcox; Doug Woos

doi:10.1145/3296979.3192414

Modularity for decidability of deductive verification with applications to distributed systems

Marcelo Taube, Giuliano Losa, Kenneth L. McMillan, Oded Padon, Mooly Sagiv, Sharon Shoham, James R. Wilcox, Doug Woos

Research output: Contribution to journal › Article › peer-review

11 Scopus citations

Abstract

Proof automation can substantially increase productivity in formal verification of complex systems. However, unpredictablility of automated provers in handling quantified formulas presents a major hurdle to usability of these tools. We propose to solve this problem not by improving the provers, but by using a modular proof methodology that allows us to produce decidable verification conditions. Decidability greatly improves predictability of proof automation, resulting in a more practical verification approach. We apply this methodology to develop verified implementations of distributed protocols, demonstrating its effectiveness.

Original language	English
Pages (from-to)	662-677
Number of pages	16
Journal	ACM SIGPLAN Notices
Volume	53
Issue number	4
DOIs	https://doi.org/10.1145/3296979.3192414
State	Published - 11 Jun 2018

Funding

Funders	Funder number
Blavatnik Family Foundation
Google
European Commission
Tel Aviv University
European Research Council
Horizon 2020
United States-Israel Binational Science Foundation	2016260, 2012259
Seventh Framework Programme	321174, FP7/2007ś2013
Horizon 2020 Framework Programme	759102
National Science Foundation	1655166

Keywords

Decidable logic
Distributed systems
Formal verification
Ivy
Modularity
Paxos
Raft

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10.1145/3296979.3192414

Cite this

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AU - Shoham, Sharon

AU - Wilcox, James R.

AU - Woos, Doug

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AB - Proof automation can substantially increase productivity in formal verification of complex systems. However, unpredictablility of automated provers in handling quantified formulas presents a major hurdle to usability of these tools. We propose to solve this problem not by improving the provers, but by using a modular proof methodology that allows us to produce decidable verification conditions. Decidability greatly improves predictability of proof automation, resulting in a more practical verification approach. We apply this methodology to develop verified implementations of distributed protocols, demonstrating its effectiveness.

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Modularity for decidability of deductive verification with applications to distributed systems

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