| 基于大数据计算模型的CBTC软件智能测试系统技术研究 |
| |
| 引用本文： | 王超,张德明,徐伟,宋欣.基于大数据计算模型的CBTC软件智能测试系统技术研究[J].铁路计算机应用,2020,29(7):30-35. |
| |
| 作者姓名： | 王超 张德明 徐伟 宋欣 |
| |
| 作者单位： | 1. 中国铁道科学研究院集团有限公司 通信信号研究所, 北京 100081; |
| |
| 基金项目： | 中国铁道科学研究院集团有限公司基金资助(2019YJ072) |
| |
| 摘 要： | 为解决国产基于通信的列车控制(CBTC,Communication Based Train Control)系统软件测试质量不高和效率低等问题,设计了基于大数据计算模型的CBTC软件智能测试系统。该系统构建一种多元线性回归软件度量模型,制定合理的软件度量标准,对软件质量进行评估,在此基础上,提出高效的基于Hadoop开源框架的分布式度量方法,用以解决大数据计算任务,并提出一种智能软件测试系统整体解决方案,实现软件测试的智能化运行。通过实验分析,该系统能够合理生成软件度量模型,对测试任务进行分布式并行处理,减少测试人员重复性劳动,提高测试人员的工作质量与效率。
|
| 关 键 词： | 智能测试 软件度量模型 大数据计算 多元线性回归 CBTC |
| 收稿时间： | 2019-07-15 |
CBTC software intelligent test system technology based on big data computing model |
| |
| Institution: | 1. Signal & Communication Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing 100081, China;2. National Test Engineering Laboratory of Rail Transit System, Beijing 100081, China |
| |
| Abstract: | In order to solve the problems of low quality and low efficiency of CBTC (Communication Based Train Control) system software testing, this article designed a CBTC software intelligent testing system based on big data computing model.This system constructed a multiple linear regression software measurement model, established a reasonable software measurement standard to evaluate the software quality. Based on this, the article proposed an efficient distributed measurement method based on Hadoop open source framework to solve the big data computing task, andput forward an overall solution of intelligent software testing system to implement the intelligent operation of software testing. Through the experimental analysis, the system can reasonably generate software measurement model, carry out distributed parallel processing of test tasks, reduce the repetitive labor of testers, and improve the quality and efficiency of testers. |
| |
| Keywords: | |
|
| 点击此处可从《铁路计算机应用》浏览原始摘要信息 |
| 点击此处可从《铁路计算机应用》下载免费的PDF全文 |
|
