Quantitative Validation of Formal Domain Models

Iliasov, A; Romanovsky, A; Laibinis, L

doi:10.1109/HASE.2019.00013

Quantitative Validation of Formal Domain Models

Lookup NU author(s): Dr Alexei Iliasov, Professor Alexander Romanovsky ORCiD, Dr Linas Laibinis

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This is the authors' accepted manuscript of a conference proceedings (inc. abstract) that has been published in its final definitive form by IEEE , 2019.

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Abstract

Application of formal methods to verification of well-formedness and semantic correctness of data sets from a particulardomain becomes increasingly practical with the advances in automated verification tools. However, it is difficult for domain experts to understand and formulate formal verification rules, yet much trust is invested in their validity and completeness. The paper discusses a novel validation approach based on statistical testing of VCs against pre-validated data sets. We illustrate the technique using a synthetic railway example and also relate our experience of integrating the approach within a large-scale industry-based project.