TY - GEN
T1 - The improved ant colony algorithm test sequence optimization based on the RBC test platform
AU - Hu, Naiwen
AU - Zheng, Wei
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/11/14
Y1 - 2014/11/14
N2 - With the rapid development of China train control system (CTCS-3), stability and safety of the CTCS-3 have become the focus of the train industry. According to the CTCS-3 functional requirement specification issued by the Ministry of Railways, this paper implements the following three aspects: Firstly, some representative functional scenarios of Radio Block Centre (RBC) are selected to build the models by Colored Petri Net (CPN) and to generate the RBC test cases of XML format. Secondly, the sequence sets of test cases may be optimized based on the improved ant colony algorithm and ideological maze. What is the optimization idea is that not only can be the shortest pathes found but also the redundant phenomenon of test sequence generation can be reduced according to the natural law of ants foraging. Finally, the RBC test platform may automatically generate test cases and test sequences for the simulation. The result shows that the proposed method can achieve optimization of test sequences successfully and reduce the test time greatly.
AB - With the rapid development of China train control system (CTCS-3), stability and safety of the CTCS-3 have become the focus of the train industry. According to the CTCS-3 functional requirement specification issued by the Ministry of Railways, this paper implements the following three aspects: Firstly, some representative functional scenarios of Radio Block Centre (RBC) are selected to build the models by Colored Petri Net (CPN) and to generate the RBC test cases of XML format. Secondly, the sequence sets of test cases may be optimized based on the improved ant colony algorithm and ideological maze. What is the optimization idea is that not only can be the shortest pathes found but also the redundant phenomenon of test sequence generation can be reduced according to the natural law of ants foraging. Finally, the RBC test platform may automatically generate test cases and test sequences for the simulation. The result shows that the proposed method can achieve optimization of test sequences successfully and reduce the test time greatly.
UR - https://www.scopus.com/pages/publications/84937136322
U2 - 10.1109/ITSC.2014.6958046
DO - 10.1109/ITSC.2014.6958046
M3 - 会议稿件
AN - SCOPUS:84937136322
T3 - 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014
SP - 2261
EP - 2262
BT - 2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014
Y2 - 8 October 2014 through 11 October 2014
ER -