基于大数据计算模型的CBTC软件智能测试系统技术研究 ( CBTC software intelligent test system technology based on big data computing model )

Chao Wang, Ming De Zhang, Wei Xu, Xin Song

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.