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信息物理融合系统控制软件的统计模型检验
引用本文:单黎君,周兴社,王宇英,赵雷,万丽景,乔磊,陈建新.信息物理融合系统控制软件的统计模型检验[J].软件学报,2015,26(2):380-389.
作者姓名:单黎君  周兴社  王宇英  赵雷  万丽景  乔磊  陈建新
作者单位:西北工业大学 计算机学院, 陕西 西安 710072 ;国家数字交换系统工程技术研究中心, 河南 郑州 450000,西北工业大学 计算机学院, 陕西 西安 710072,西北工业大学 计算机学院, 陕西 西安 710072,北京控制工程研究所, 北京 100190,北京控制工程研究所, 北京 100190,北京控制工程研究所, 北京 100190,北京控制工程研究所, 北京 100190
基金项目:国家自然科学基金(61472327)
摘    要:信息物理融合系统常采用嵌入式实时多任务系统作为其控制软件,这类软件的并发和非确定性给验证带来了困难.提出了一种利用统计模型检验技术分析多任务系统的功能正确性的方法.该方法构造的时间自动机模型以模块化的方式描述了实时多任务系统中的主要成分,包括实时操作系统、周期性任务、偶发任务、共享资源以及物理环境,能够展现多任务系统的细粒度的运行过程及其对物理环境的实时响应.应用该方法分析了玉兔号月球车控制软件的一个早期版本,发现了系统运行中出现的一个特殊错误,识别了实际系统出现错误的条件,再现了出现错误的场景.

关 键 词:形式化验证  统计模型检验  信息物理融合系统  多任务系统
收稿时间:2014/7/15 0:00:00
修稿时间:2014/10/31 0:00:00

Statistical Model Checking of Cyber-Physical Systems Control Software
SHAN Li-Jun,ZHOU Xing-She,WANG Yu-Ying,ZHAO Lei,WAN Li-Jing,QIAO Lei and CEHN Jian-Xin.Statistical Model Checking of Cyber-Physical Systems Control Software[J].Journal of Software,2015,26(2):380-389.
Authors:SHAN Li-Jun  ZHOU Xing-She  WANG Yu-Ying  ZHAO Lei  WAN Li-Jing  QIAO Lei and CEHN Jian-Xin
Affiliation:School of Computer Science and Technology, Northwestern Polytechnical University, Xi'an 710072, China ;National Digital Switching System Engineering and Technological Research Center, Zhengzhou 450000, China,School of Computer Science and Technology, Northwestern Polytechnical University, Xi'an 710072, China,School of Computer Science and Technology, Northwestern Polytechnical University, Xi'an 710072, China,Beijing Institute of Control Engineering, Beijing 100190, China,Beijing Institute of Control Engineering, Beijing 100190, China,Beijing Institute of Control Engineering, Beijing 100190, China and Beijing Institute of Control Engineering, Beijing 100190, China
Abstract:Cyber physical systems (CPS) typically employ real-time multitasking systems as their control software. This paper proposes an approach to formally analyzing such control software using statistical model checking of UPPAAL. The main contribution of this study is a model in timed automata which modularly describes the major components of a multitasking system. The model supports the analysis of timing-related functional properties as well as schedulability analysis, and can easily be adapted and extended for verifying different properties of various multitasking systems. A case study on an early version of the Chinese Lunar Rover control software shows that the proposed method is able to track down undesired behavior in real-world industrial CPS.
Keywords:formal verification  statistical model checking  cyber-physical system  multitasking system
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