Understanding Synthesized Reactive Systems Through Invariants

Author:

Ehlers RüdigerORCID

Abstract

AbstractIn many applications for which reactive synthesis is attractive, computed implementations need to have understandable behavior. While some existing synthesis approaches compute finite-state machines with a structure that supports their understandability, such approaches do not scale to specifications that can only be realized with a large number of states. Furthermore, asking the engineer to understand the internal structure of the implementation is unnecessary when only the behavior of the implementation is to be understood.In this paper, we present an approach to computing understandable safety invariants that every implementation satisfying a generalized reactivity(1) specification needs to fulfill. Together with the safety part of the specification, the invariants completely define which transitions between input and output proposition valuations any correct implementation can take. We apply the approach in two case studies and demonstrate that the computed invariants highlight the strategic decisions that implementations for the given specification need to make, which not only helps the system designer with understanding what the specification entails, but also supports specification debugging.

Publisher

Springer Nature Switzerland

Reference36 articles.

1. Alur, R., Moarref, S., Topcu, U.: Pattern-based refinement of assume-guarantee specifications in reactive synthesis. In: 21st International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS), pp. 501–516 (2015)

2. Lecture Notes in Computer Science;B Aminof,2012

3. Baumeister, T., Finkbeiner, B., Torfah, H.: Explainable reactive synthesis. In: 18th International Symposium on Automated Technology for Verification and Analysis (ATVA), pp. 413–428 (2020)

4. Biere, A., Fazekas, K., Fleury, M., Heisinger, M.: CaDiCaL, Kissat, Paracooba, Plingeling and Treengeling entering the SAT Competition 2020. In: Balyo, T., Froleyks, N., Heule, M., Iser, M., Järvisalo, M., Suda, M. (eds.) SAT Competition 2020 – Solver and Benchmark Descriptions. Department of Computer Science Report Series B, vol. B-2020-1, pp. 51–53. University of Helsinki (2020)

5. Lecture Notes in Computer Science;R Bloem,2015

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