Verification Artifacts in Cooperative Verification: Survey and Unifying Component Framework

Author:

Beyer DirkORCID,Wehrheim HeikeORCID

Abstract

Abstract The goal of cooperative verification is to combine verification approaches in such a way that they work together to verify a system model. In particular, cooperative verifiers provide exchangeable information (verification artifacts) to other verifiers or consume such information from other verifiers with the goal of increasing the overall effectiveness and efficiency of the verification process. This paper first gives an overview over approaches for leveraging strengths of different techniques, algorithms, and tools in order to increase the power and abilities of the state of the art in software verification. To limit the scope, we restrict our overview to tools and approaches for automatic program analysis. Second, we specifically outline cooperative verification approaches and discuss their employed verification artifacts. Third, we formalize all artifacts in a uniform way, thereby fixing their semantics and providing verifiers with a precise meaning of the exchanged information.

Publisher

Springer International Publishing

Reference98 articles.

1. Abiteboul, S., Hull, R., Vianu, V.: Foundations of Databases. Addison-Wesley (1995)

2. Ball, T., Rajamani, S.K.: SLIC: A specification language for interface checking (of C). Technical report MSR-TR-2001-21, Microsoft Research (2002)

3. Ball, T., Rajamani, S.K.: The SLAM project: Debugging system software via static analysis. In: Proc. POPL, pp. 1–3. ACM (2002). https://doi.org/10.1145/503272.503274

4. Ball, T., Bounimova, E., Kumar, R., Levin, V.: SLAM2: Static driver verification with under 4% false alarms. In: Proc. FMCAD, pp. 35–42. IEEE (2010)

5. Baudin, P., Cuoq, P., Filliâtre, J.C., Marché, C., Monate, B., Moy, Y., Prevosto, V.: ACSL: ANSI/ISO C specification language version 1.15 (2020)

Cited by 21 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. Correctness Witness Validation by Abstract Interpretation;Lecture Notes in Computer Science;2023-12-30

2. Verify This: Memcached—A Practical Long-Term Challenge for the Integration of Formal Methods;iFM 2023;2023-11-06

3. CEGAR-PT: A Tool for Abstraction by Program Transformation;2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE);2023-09-11

4. CPA-DF: A Tool for Configurable Interval Analysis to Boost Program Verification;2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE);2023-09-11

5. Parallel Program Analysis via Range Splitting;Fundamental Approaches to Software Engineering;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