Journal article Open Access
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
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Abstract of the paper:
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 \emph{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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- Publication date:
- April 16, 2018
- DOI:
-
- License (for files):
- Creative Commons Attribution 4.0 International