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基于数据源识别和驱动分析的软件系统测试方法
引用本文:魏波,张慧颖,司倩然. 基于数据源识别和驱动分析的软件系统测试方法[J]. 计算机测量与控制, 2021, 29(9): 73-77. DOI: 10.16526/j.cnki.11-4762/tp.2021.09.014
作者姓名:魏波  张慧颖  司倩然
作者单位:北京跟踪与通信技术研究所,北京 100094
基金项目:国家自然科学基金(61502015)
摘    要:航天测控软件系统安全关键等级高,其质量直接决定航天任务成败,具有架构庞大、软件配置项多、内外接口复杂、数据传递路径长、处理实时性强等特点,软件系统测试的要求高且难度大,目前存在系统测试需求不清晰、测试针对性差等实际问题;航天测控软件系统是典型的数据驱动型软件系统,针对其特点,文章提出了一种基于数据源识别和数据流分析的软件系统测试方法,开展了数据源识别、数据流路径分析、数据状态分析和获取、系统级数据流顺序图生成等关键技术研究,给出了该方法的推荐工作流程;该方法已在多个航天测控中心软件系统测试中应用,实践表明,针对数据驱动型软件系统,该方法可以显著提高系统测试的设计有效性和测试效率。

关 键 词:数据驱动  软件系统测试  航天测控系统  中心机软件系统  数据分析  数据源识别
收稿时间:2021-07-06
修稿时间:2021-08-03

A Software System Test Method Based on Data Source Identification and Analyzing
WEI Bo,ZHANG Huiying,SI Qianran. A Software System Test Method Based on Data Source Identification and Analyzing[J]. Computer Measurement & Control, 2021, 29(9): 73-77. DOI: 10.16526/j.cnki.11-4762/tp.2021.09.014
Authors:WEI Bo  ZHANG Huiying  SI Qianran
Abstract:Aerospace TT C (Tracking, Telemetry and Command) software system has high security key level, and its quality directly determines the success or failure of the space mission. But due to the large architecture, many software configuration items, the complex internal and external interface, the long data transmission path, the processing of real-time and other factors, its software system testing requirements are high and difficult. However, there are practical problems in system testing that the system testing requirements are not clear and The tests are not highly targeted. Aerospace TT C Center software system is a typical data-driven software system, according to the characteristics of the TT C Center software system, this paper designs a software system test method based on data source Identification and analysis, some key technologies include data source recognition, data flow path analysis, data state analysis and acquisition, system-level data sequential mapping are studied, and the general workflow is introduced. The Method proposed in this paper has been applied in the software system tests of several aerospace TT C centers, and the practices show that the Validity and efficiency of test design can be significantly improved.
Keywords:Data-Driven   Software System Testing   TT C Software System   Center Computer System   Data Analyzing  Data Source Identification
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