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Model Based Testing of Cyber-Physical Systems

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Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 11232))

Abstract

Testing, inspection, and certification (TIC) are essential activities on consumer and industrial systems. The conformance to system specifications and standards can then provide assurances on system safety, security, reliability, and interoperability. TIC needs to evolve in tandem with growing system size and complexity. Common modern systems such as autonomous vehicles and smart health-care systems take the form of Cyber Physical Systems (CPSs). Model Based Testing (MBT) is one promising approach to test CPSs. An MBT framework for testing CPSs will be useful to systems testers and can raise the standard of systems testing as a whole.

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References

  1. Woehrle, M., Lampka, K., Thiele, L.: Conformance testing for cyber-physical systems. ACM Trans. Embed. Comput. Syst. 11(4), 1–23 (2012). Article 84. https://doi.org/10.1145/2362336.2362351

    Article  Google Scholar 

  2. Li, H., et al.: Improving rail network velocity: a machine learning approach to predictive maintenance. Transp. Res. Part C: Emerg. Technol. 50(1), 1726 (2014). https://doi.org/10.1145/1188913.1188915

    Article  Google Scholar 

  3. Susto, G.A., Schirru, A., Pampuri, S., McLoone, S., Beghi, A.: Machine learning for predictive maintenance: a multiple classifier approach. IEEE Trans. Ind. Inform. 11(3), 812–820 (2015)

    Article  Google Scholar 

  4. Verwer, S.: Efficient identification of timed automata: theory and practice. Ph.D. dissertation. TU Delft, Delft University of Technology, July 2010. https://repository.tudelft.nl/islandora/object/uuid:61d9f199-7b01-45be.../download. Accessed 14 May 2018

  5. National University of Singapore. PAT: Process Analysis Toolkit (2014). http://pat.comp.nus.edu.sg/. Accessed 17 May 2018

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Correspondence to Teck Ping Khoo .

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Khoo, T.P. (2018). Model Based Testing of Cyber-Physical Systems. In: Sun, J., Sun, M. (eds) Formal Methods and Software Engineering. ICFEM 2018. Lecture Notes in Computer Science(), vol 11232. Springer, Cham. https://doi.org/10.1007/978-3-030-02450-5_27

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  • DOI: https://doi.org/10.1007/978-3-030-02450-5_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-02449-9

  • Online ISBN: 978-3-030-02450-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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