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Diagram-Led Formal Modelling Using iUML-B for Hybrid ERTMS Level 3

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10817))

Abstract

We demonstrate diagrammatic Event-B formal modelling of a hybrid, ‘fixed virtual block’ approach to train movement control for the emerging European Rail Traffic Management System (ERTMS) level 3. We perform a refinement-based formal development and verification of the no-collision safety requirement. The development reveals limitations in the specification and identifies assumptions on the environment. We reflect on our team-based approach to finding useful modelling abstractions and demonstrate a systematic modelling method using the UML-like state and class diagrams of iUML-B. We suggest enhancements to the existing iUML-B method that would have benefitted this development.

All data supporting this study are openly available from the University of Southampton repository at http://doi.org/10.5258/SOTON/D0403.

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Notes

  1. 1.

    http://ertms.net.

  2. 2.

    Controlled and trusted (trains) are terms that we have introduced, they are not terms from the specification.

  3. 3.

    Note that class invariants are implicitly quantified over instances of the class, hence the antecedent is added automatically.

  4. 4.

    https://www.enable-s3.eu/.

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Acknowledgements

The authors would like to thank Tomas Fischer of Thales Austria GmbH, for his helpful comments about the paper.

This work has been conducted within the ENABLE-S3 project that has received funding from the ECSEL Joint Undertaking under Grant Agreement no. 692455. This Joint Undertaking receives support from the European Union’s HORIZON 2020 research and innovation programme and Austria, Denmark, Germany, Finland, Czech Republic, Italy, Spain, Portugal, Poland, Ireland, Belgium, France, Netherlands, United Kingdom, Slovakia, Norway.

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Correspondence to Dana Dghaym .

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Dghaym, D., Poppleton, M., Snook, C. (2018). Diagram-Led Formal Modelling Using iUML-B for Hybrid ERTMS Level 3. In: Butler, M., Raschke, A., Hoang, T., Reichl, K. (eds) Abstract State Machines, Alloy, B, TLA, VDM, and Z. ABZ 2018. Lecture Notes in Computer Science(), vol 10817. Springer, Cham. https://doi.org/10.1007/978-3-319-91271-4_23

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  • DOI: https://doi.org/10.1007/978-3-319-91271-4_23

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