Relational concurrent refinement part III: traces, partial relations and automata

Author:

Derrick John1,Boiten Eerke2

Affiliation:

1. Department of Computer Science, University of Sheffield, S1 4DP, Sheffield, UK

2. School of Computing, University of Kent, CT2 7NF, Canterbury, Kent, UK

Abstract

Abstract Data refinement in a state-based language such as Z is defined using a relational model in terms of the behaviour of abstract programs. Downward and upward simulation conditions form a sound and jointly complete methodology to verify relational data refinements, which can be checked on an event-by-event basis rather than per trace. In models of concurrency, refinement is often defined in terms of sets of observations, which can include the events a system is prepared to accept or refuse, or depend on explicit properties of states and transitions. By embedding such concurrent semantics into a relational framework, eventwise verification methods for such refinement relations can be derived. In this paper, we continue our program of deriving simulation conditions for process algebraic refinement by defining further embeddings into our relational model: traces, completed traces, failure traces and extension. We then extend our framework to include various notions of automata based refinement.

Publisher

Association for Computing Machinery (ACM)

Subject

Theoretical Computer Science,Software

Cited by 5 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. Process Data Types - A Fully General Model of Concurrent Refinement;Refinement;2018

2. Bibliography;From Action Systems to Distributed Systems;2016-04-20

3. Revised Singleton Failures Equivalence for Labelled Transition Systems;Chinese Journal of Electronics;2015-07

4. Refining CSP and Object-Z Specifications;Refinement in Z and Object-Z;2014

5. From ODP viewpoint consistency to Integrated Formal Methods;Computer Standards & Interfaces;2013-03

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