Abstract

Testing of the train control system is a vital factor to ensure the functional and reliability of railway signal system. In the paper, an automated test generation approach based on colored petri net (CPN) and the improved depth first search algorithm, which takes the full path coverage and the full node coverage as criterions, is presented for the train control system. Firstly, CPN model is designed by the functional requirements specification of the Chinese Train Control System Level 3 (CTCS -3) train control system and modeling rules. Secondly, test case suite with least number of repeated paths and least number of test cases is automatically generated by the proposed approach. Finally, the case study of on-board subsystem is employed, which is to show that the proposed approach can deal with complex endless (self-)loops and improve test efficiency.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.