Browse by author
Lookup NU author(s): Dr Alexei Iliasov, Dr Linas Laibinis, Dr Ilya Lopatkin, Professor Alexander RomanovskyORCiD
This is the authors' accepted manuscript of a conference proceedings (inc. abstract) that has been published in its final definitive form by Springer, 2022.
For re-use rights please refer to the publisher's terms and conditions.
This industrial experience report discusses the problems we have been facing while using our formal verification technology, called SafeCap, in a substantial number of live signalling projects in the UK mainline rail, and the solutions we are now developing to counter these.Symbolic execution and safety invariant verification are well-understood subjects and yet their application to real life high assurance systems requires going a few steps beyond the conventional practice. In engineering practice it is not sufficient to simply know that a safety property fails:one needs to know why and hence where and what exactly fails; it is also crucial to positively demonstrate no safety failure is missing. In this industrial report we show how to derive a list of all potential errors by transforming safety invariant predicate using information from symbolic state transition system. The identified possible errors are verified by an automated symbolic prover, while a report generator presents findings in an engineer-friendly format to guide subsequent rework steps.
Author(s): Iliasov A, Laibinis L, Taylor D, Lopatkin I, Romanovsky A
Editor(s): Simon Collart-Dutilleul, Anne E. Haxthausen, Thierry Lecomte
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: Modelling, Analysis, Verification, and Certification: 4th International Conference on Reliability, Safety and Security of Railway Systems (RSSRail 2022)
Year of Conference: 2022
Pages: 20-31
Online publication date: 20/05/2022
Acceptance date: 02/02/2022
Date deposited: 27/12/2021
ISSN: 0302-9743
Publisher: Springer
URL: https://doi.org/10.1007/978-3-031-05814-1_2
DOI: 10.1007/978-3-031-05814-1_2
ePrints DOI: 10.57711/k0h0-9b39
Library holdings: Search Newcastle University Library for this item
Series Title: Lecture Notes in Computer Science
ISBN: 9783031058134
