关于归纳不变量的自动推理

Haojun Ma, Aman Goel, Jean-Baptiste Jeannin, Manos Kapritsos, Baris Kasikci, K. Sakallah
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引用次数: 7

摘要

众所周知,分布式系统很难正确地设计和实现。形式化验证提供了正确性证明,并且最近已成功地应用于各种分布式系统。典型形式化验证的核心是一个带有归纳不变量的计算机检查证明。找到这个归纳不变量是证明中最难的部分:这部分目前是由开发人员手动完成的,并且负责与形式化验证相关的大部分工作。本文提出了一种新的方法:增量推理的归纳不变量(I4),用于自动生成分布式协议的归纳不变量。我们从一个简单的思想出发:协议的有限实例的归纳不变量必须是无限分布式协议的一般归纳不变量的一个实例。在I4中,我们实例化了协议的一个有限实例,求出了该实例的有限归纳不变量,然后将有限不变量推广到一般归纳不变量。我们的实验表明,I4可以用最少的人力完成几个系统的一般正确性证明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards Automatic Inference of Inductive Invariants
Distributed systems are notoriously difficult to design and implement correctly. Formal verification provides correctness proofs, and has recently been successfully applied to various distributed systems. At the heart of a typical formal verification is a computer-checked proof with an inductive invariant. Finding this inductive invariant is the hardest part of the proof: a part that is currently undertaken manually by the developer and is responsible for most of the effort associated with formal verification. In this paper, we present a new approach: Incremental Inference of Inductive Invariants (I4), to automatically generate inductive invariants for distributed protocols. We start from a simple idea: the inductive invariant of a finite instance of the protocol must be an instance of a general inductive invariant for the infinite distributed protocol. In I4, we instantiate a finite instance of the protocol, work out the finite inductive invariant of this instance, then figure out the general inductive invariant as a generalization of the finite invariant. Our experiments show that I4 can finish the general proof of correctness of several systems with minimal human effort.
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