Abstract Contract Synthesis and Verification in the Symbolic 𝕂 Framework

Author:

Alpuente María1,Pardo Daniel2,Villanueva Alicia3

Affiliation:

1. VRAIN, Universitat Politècnica de València, Camino de Vera s/n, Valencia, Spain. alpuente@upv.es

2. DSIC, Universitat Politècnica de València, Valencia, Spain. daparpon@dsic.upv.es

3. VRAIN, Universitat Politècnica de València, Camino de Vera s/n, Valencia, Spain. alvilga1@upv.es

Abstract

In this article, we propose a symbolic technique that can be used for automatically inferring software contracts from programs that are written in a non-trivial fragment of C, called KERNELC, that supports pointer-based structures and heap manipulation. Starting from the semantic definition of KERNELC in the 𝕂 semantic framework, we enrich the symbolic execution facilities recently provided by 𝕂 with novel capabilities for contract synthesis that are based on abstract subsumption. Roughly speaking, we define an abstract symbolic technique that axiomatically explains the execution of any (modifier) C function by using other (observer) routines in the same program. We implemented our technique in the automated tool KINDSPEC 2.1, which generates logical axioms that express pre- and post-condition assertions which define the precise input/output behavior of the C routines. Thanks to the integrated support for symbolic execution and deductive verification provided by 𝕂, some synthesized axioms that cannot be guaranteed to be correct by construction due to abstraction can finally be verified in our setting with little effort.

Publisher

IOS Press

Subject

Computational Theory and Mathematics,Information Systems,Algebra and Number Theory,Theoretical Computer Science

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An Active Learning Approach to Synthesizing Program Contracts;Software Engineering and Formal Methods;2023

2. Automated Synthesis of Software Contracts with KindSpec;Analysis, Verification and Transformation for Declarative Programming and Intelligent Systems;2023

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