Compositional Verification in Rewriting Logic

IF 1.4 2区 数学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
ÓSCAR MARTÍN, ALBERTO VERDEJO, NARCISO MARTÍ-OLIET
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引用次数: 0

Abstract

Abstract In previous work, summarized in this paper, we proposed an operation of parallel composition for rewriting-logic theories, allowing compositional specification of systems and reusability of components. The present paper focuses on compositional verification. We show how the assume/guarantee technique can be transposed to our setting, by giving appropriate definitions of satisfaction based on transition structures and path semantics. We also show that simulation and equational abstraction can be done componentwise. Appropriate concepts of fairness and deadlock for our composition operation are discussed, as they affect satisfaction of temporal formulas. We keep in parallel a distributed and a global view of composed systems. We show that these views are equivalent and interchangeable, which may help our intuition and also has practical uses as, for example, it allows global-style verification of a modularly specified system. Under consideration in Theory and Practice of Logic Programming (TPLP).
改写逻辑中的组合验证
在以往的工作中,我们提出了一种用于重写逻辑理论的并行组合操作,允许系统的组合规范和组件的可重用性。本文的重点是成分验证。通过基于转换结构和路径语义给出适当的满意度定义,我们展示了假设/保证技术如何转换到我们的设置中。我们还证明了模拟和方程抽象可以以组件方式完成。讨论了组合操作的公平性和死锁的适当概念,因为它们影响时间公式的满足。我们对组合系统同时保持分布式和全局视图。我们展示了这些视图是等价的和可互换的,这可能有助于我们的直觉,也有实际用途,例如,它允许对模块化指定的系统进行全局样式的验证。逻辑规划理论与实践的思考。
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来源期刊
Theory and Practice of Logic Programming
Theory and Practice of Logic Programming 工程技术-计算机:理论方法
CiteScore
4.50
自引率
21.40%
发文量
40
审稿时长
>12 weeks
期刊介绍: Theory and Practice of Logic Programming emphasises both the theory and practice of logic programming. Logic programming applies to all areas of artificial intelligence and computer science and is fundamental to them. Among the topics covered are AI applications that use logic programming, logic programming methodologies, specification, analysis and verification of systems, inductive logic programming, multi-relational data mining, natural language processing, knowledge representation, non-monotonic reasoning, semantic web reasoning, databases, implementations and architectures and constraint logic programming.
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