Formal Analysis of Railway Signalling Data
Alexei Iliasov, Alexander B. Romanovsky · 2016
This paper presents an approach to a tool-assisted analysis and verification of safety-critical interlocking and signalling data. We show how to combine multiple, non-homogeneous sources of data and render such data as a collection of mathematical entities, namely sets, relations and functions. We then demonstrate how top-level railway safety concerns can be broken down, via a combination of informal structured argumentation and formal inference, into formal verification goals suitable for automatic verification tools.