Inductive Approach to Spacer

Author:

Tsukada Takeshi1ORCID,Unno Hiroshi2ORCID

Affiliation:

1. Chiba University, Chiba, Japan

2. Tohoku University, Sendai, Japan

Abstract

The constrained Horn clause satisfiability problem is at the core of many automated verification methods, and Spacer is one of the most efficient solvers of this problem. The standard description of Spacer is based on an abstract transition system, dividing the whole procedure into small rules. This division makes individual rules easier to understand but, conversely, makes it difficult to discuss the procedure as a whole. As evidence of the difficulty in understanding the whole procedure, we point out that the claimed refutational completeness actually fails for several reasons, some of which were not present in the original version and subsequently added. It is also difficult to grasp the differences between Spacer and another procedure, such as GPDR. This paper aims to provide a better understanding of Spacer by developing a Spacer-like procedure defined by structural induction. We first formulate the problem to be solved inductively, then give its naïve solver and transform it to obtain a Spacer-like procedure. Interestingly, our inductive approach almost unifies Spacer and GPDR, which differ in only one respect in our understanding. To demonstrate the usefulness of our inductive approach in understanding Spacer, we examine Spacer variants in the literature in terms of inductive procedures and discuss why they are not refutationally complete and how to fix them. We also implemented the proposed procedure and evaluated it experimentally.

Funder

Japan Society for the Promotion of Science

Publisher

Association for Computing Machinery (ACM)

Reference38 articles.

1. PrIC3: Property Directed Reachability for MDPs

2. Tewodros A. Beyene, Corneliu Popeea, and Andrey Rybalchenko. 2013. Solving Existentially Quantified Horn Clauses. In CAV ’13 (LNCS, Vol. 8044). Springer, 869–882.

3. Nikolaj Bjorner and Mikolas Janota. 2015. Playing with Quantified Satisfaction. In LPAR ’15 (EPiC Series in Computing, Vol. 35). EasyChair, 15–27.

4. Nikolaj Bjørner, Ken McMillan, and Andrey Rybalchenko. 2013. On Solving Universally Quantified Horn Clauses. In SAS ’13 (LNCS, Vol. 7935). Springer, 105–125.

5. Transition Power Abstractions for Deep Counterexample Detection

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3