Verification of message-passing uninterpreted programs

IF 1.5 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING Science of Computer Programming Pub Date : 2024-01-02 DOI:10.1016/j.scico.2023.103075
Weijiang Hong , Zhenbang Chen , Yufeng Zhang , Hengbiao Yu , Yide Du , Ji Wang
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Abstract

Message-passing programs involve several processes with channel-based communications to deal with tasks concurrently. The complex computations and communications between processes make the verification of message-passing programs hard. By regarding the functions in programs as uninterpreted functions, we focus on the verification problem of message-passing uninterpreted programs. Although the usage of uninterpreted functions alleviates the computational difficulties brought by functions, the verification problem is still undecidable in general. In this work, we provide a decidable subclass of message-passing uninterpreted programs, wherein programs in this subclass satisfy the property of k-record coherence. The decidability result closely relies on communicating finite-state machine (CFM) with bounded channels. Based on the decidability result, we proposed a verification framework for message-passing uninterpreted programs.

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验证消息传递未解释程序
消息传递程序涉及多个进程,它们通过基于信道的通信来同时处理任务。进程间复杂的计算和通信使得消息传递程序的验证变得十分困难。通过将程序中的函数视为未诠释函数,我们重点研究了消息传递未诠释程序的验证问题。虽然未解释函数的使用减轻了函数带来的计算困难,但一般来说,验证问题仍然是不可解的。在这项工作中,我们提供了一个消息传递未解释程序的可判定子类,该子类中的程序满足 k 记录一致性的特性。可解性结果紧密依赖于有界信道的通信有限状态机(CFM)。基于可证实性结果,我们提出了一个针对消息传递非解释程序的验证框架。
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来源期刊
Science of Computer Programming
Science of Computer Programming 工程技术-计算机:软件工程
CiteScore
3.80
自引率
0.00%
发文量
76
审稿时长
67 days
期刊介绍: Science of Computer Programming is dedicated to the distribution of research results in the areas of software systems development, use and maintenance, including the software aspects of hardware design. The journal has a wide scope ranging from the many facets of methodological foundations to the details of technical issues andthe aspects of industrial practice. The subjects of interest to SCP cover the entire spectrum of methods for the entire life cycle of software systems, including • Requirements, specification, design, validation, verification, coding, testing, maintenance, metrics and renovation of software; • Design, implementation and evaluation of programming languages; • Programming environments, development tools, visualisation and animation; • Management of the development process; • Human factors in software, software for social interaction, software for social computing; • Cyber physical systems, and software for the interaction between the physical and the machine; • Software aspects of infrastructure services, system administration, and network management.
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