The conception of a large-scale Systems Engineering environment

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

Abstract

With the rise of artificial intelligence, it is time to shape the systems engineering tooling environment for the future. In the last decade, we have seen several emerging technologies that will potentially have a great impact in complex systems. These new technologies are expected to cause a disruptive impact not only in the products but also in to the tools used across the whole product life cycle. For this reason, is imperative to perform a critical review of the current systems engineering tooling ecosystem. This assessment should also map the open research problems that could prevent the complete integration of the new technologies into the systems engineering framework. This paper proposes a new architecture for a system engineering environment to operate in large scale projects. The objective of this research is twofold: it will first identify the capabilities for the next generation platform, and secondly, it will evaluate how artificial intelligence applications can be integrated in compliance with DO-330. The concept developed by this research will drive tool design recommendations enabling the use of artificial intelligence driven applications in a systems engineering tooling ecosystem.

Original languageEnglish
Title of host publicationDASC 2020 - 39th Digital Avionics Systems Conference, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728198255
DOIs
Publication statusPublished - 11 Oct 2020
Event39th AIAA/IEEE Digital Avionics Systems Conference, DASC 2020 - Virtual, San Antonio, United States
Duration: 11 Oct 202016 Oct 2020

Publication series

NameAIAA/IEEE Digital Avionics Systems Conference - Proceedings
Volume2020-October
ISSN (Print)2155-7195
ISSN (Electronic)2155-7209

Conference

Conference39th AIAA/IEEE Digital Avionics Systems Conference, DASC 2020
Country/TerritoryUnited States
CityVirtual, San Antonio
Period11/10/2016/10/20

Keywords

  • Artificial Intelligence
  • DO-330
  • MBSE
  • Systems Engineering

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