Demonstration of a Model-based Approach for Formal Verification of I&C Logics

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Abstract

This paper introduces a model-based methodology for conformity assessment of I&C logics using model checking analysis. The presented method extends our previous work of model-based, artefact-driven support for engineering of mission-critical systems. The approach includes an ontology and a data model for constructing a tool-supported data repository for the model checking artefacts. The repository brings to the assessment, among others, the benefits of traceability between requirements, claims and analysis results, and it acts as a sole source for information, avoiding distortion and fragmentation of data. For demonstrating and testing the capabilities of our approach, we performed an exemplary model checking task on an I&C related case study, storing all the created work items to the data repository created with Siemens' Polarion™ tool. Finally, we present a methodology for using the relations between the artefacts to automatically generate assessment reports and explore the capabilities of the selected tool for this task.
Original languageEnglish
Title of host publication13th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies (NPIC&HMIT 2023)
PublisherAmerican Nuclear Society (ANS)
Pages1441-1450
Number of pages10
ISBN (Electronic)9780894487910
DOIs
Publication statusPublished - Jul 2023
MoE publication typeA4 Article in a conference publication
Event13th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies (NPIC & HMIT 2023) - Knoxville, United States
Duration: 15 Jul 202320 Jul 2023

Conference

Conference13th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies (NPIC & HMIT 2023)
Country/TerritoryUnited States
CityKnoxville
Period15/07/2320/07/23

Funding

The Finnish Research Programme on Nuclear Power Plant Safety 2019–2022 (SAFIR2022) funded this research. Any opinions or findings of this work are the responsibility of the authors, and do not necessarily reflect the views of the sponsors or collaborators.

Keywords

  • MBSE
  • Model checking
  • I&C assessment

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