An Industrial Approach for Model-Based Reliability-Oriented System Design

Juan Manuel Morote, Jose Luis De La Vara, Giovanni Giachetti, Clara Ayora, Luis Alons

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Society increasingly depends on electronic systems and components (ECS) whose reliability must be ensured throughout their lifecycle. ECS reliability must be addressed since early development stages and the means used to this end must fit other systems engineering practices. Within this context, we present an industrial approach for model-based reliability-oriented system design. It links model-based systems engineering with Arcadia/Capella and knowledge-centric systems engineering with the Systems Engineering Suite. The approach deals with system modelling, ontology development, structured textual requirements specification, traceability management, and model quality analysis, all of them targeted at ECS reliability. We also present the validation steps taken.

Original languageEnglish
Title of host publicationProceedings - 2022 IEEE 27th Pacific Rim International Symposium on Dependable Computing, PRDC 2022
PublisherIEEE Computer Society
Pages224-229
Number of pages6
ISBN (Electronic)9781665485555
DOIs
Publication statusPublished - 2022
Event27th IEEE Pacific Rim International Symposium on Dependable Computing, PRDC 2022 - Virtual, Online, China
Duration: 28 Nov 20221 Dec 2022

Publication series

NameProceedings of IEEE Pacific Rim International Symposium on Dependable Computing, PRDC
Volume2022-November
ISSN (Print)1541-0110

Conference

Conference27th IEEE Pacific Rim International Symposium on Dependable Computing, PRDC 2022
Country/TerritoryChina
CityVirtual, Online
Period28/11/221/12/22

Keywords

  • Arcadia
  • Capella
  • knowledge-centric systems engineering
  • model-based systems engineering
  • reliability
  • system design
  • Systems Engineering Suite

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Hardware and Architecture
  • Software

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