• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 57 Issue 2
Jul.  2022
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Article Contents
LI Yao, ZHANG Xiaoxia, GUO Jin, ZHANG Yadong. Modeling Method for Testing Railway Signal System Software[J]. Journal of Southwest Jiaotong University, 2022, 57(2): 392-400, 424. doi: 10.3969/j.issn.0258-2724.20200530
Citation: LI Yao, ZHANG Xiaoxia, GUO Jin, ZHANG Yadong. Modeling Method for Testing Railway Signal System Software[J]. Journal of Southwest Jiaotong University, 2022, 57(2): 392-400, 424. doi: 10.3969/j.issn.0258-2724.20200530

Modeling Method for Testing Railway Signal System Software

doi: 10.3969/j.issn.0258-2724.20200530
  • Received Date: 12 Aug 2020
  • Rev Recd Date: 21 Jan 2021
  • Publish Date: 01 Apr 2021
  • As the testing model of railway signal system software fails to describe the test requirements systematically, a risk timed statechart (RTSC) modeling method is proposed. First, the characteristics of testing railway signal system software are analyzed, and its modeling requirements are proposed. Then, based on the finite state machine (FSM) theory, the clock and risk level elements are extended respectively in the transition and state of the FSM, and the RTSC modeling method is proposed to meet the modeling requirements of the functional logic, clock constraint and risk level. The formal definition and configuration mechanism of the RTSC are expressed by Z notation. Finally, the switching function of computer-based interlocking system is used as an example to build the RTSC testing model and the proposed method is compared with the timed automata modeling method. The results show that in contrast to the timed automata modeling method, the RTSC saves 62% of transition numbers and has stronger description ability, which can meet the modeling requirements of the railway signal system software testing.

     

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