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 journalArticlepeer-review

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 languageEnglish
Pages (from-to)662-677
Number of pages16
JournalACM SIGPLAN Notices
Volume53
Issue number4
DOIs
StatePublished - 11 Jun 2018

Keywords

  • Decidable logic
  • Distributed systems
  • Formal verification
  • Ivy
  • Modularity
  • Paxos
  • Raft

All Science Journal Classification (ASJC) codes

  • General Computer Science

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