Research on application of FPtree based association rule mining on test sequence in train control system
作者单位：China Academy of Railway Sciences Signal & Communication Research InstituteChina Academy of Railway Sciences Standards & Metrology Research InstituteChina Academy of Railway Sciences State Key Lab of Rail Traffic Control & SafetyBeijing Jiaotong University
会议名称：《第36届中国控制会议》
主办单位：Dalian University of Technology;Systems Engineering Society of China (SESC);Technical Committee on Control Theory (TCCT), Chinese Association of Automation (CAA)
会议日期：2017年
学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 082302[工学-交通信息工程及控制] 0823[工学-交通运输工程]
基 金：supported by program of Natural Science Foundation of China under Grant No.U1434209 program of China Academy of Railway sciences under Grant No.1551ZJ0804 program of Beijing Jiaotong University under Grant No.2016JBM007 program of China Railway Corporation under Grant No.2015D002-B
关 键 词：CTCS-3 test case test sequence data mining association rule FPtree
摘 要：Based on the development and application of on-board subsystem test bench for current CTCS-3 system,this paper focuses on the approach of automatically generation of test sequence,takes the existing test sequences of ETCS-2(European Train Control system level 2) as the train set existing relatively mature test sequence as the training set,to execute association rule *** whole data mining process involves data preparation(including data cleaning and data selection) firstly,providing basement for association rule,then establishes FP tree and seeks test cases with frequent pattern through implementing FProwth algorithm for the target *** the analysis results and experience,it shows that the association rule based on FPree could play an important role on the efficiency and verification of automatically generation of test sequence.