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Models2Code: Autonomous model‐based generation to expedite the engineering process.

Authors :
Paniagua, Cristina
Caso, Fernando Labra
Source :
Systems Engineering. Oct2024, p1. 14p. 10 Illustrations.
Publication Year :
2024

Abstract

Insufficient resources and high costs are hindering industrial development, potentially impeding adaptation to market demands. Overcoming this challenge necessitates advancements in software engineering techniques to streamline processes and meet industrial requirements. Crucially, automating manual tasks and enhancing interoperability between engineering stages can yield efficiency gains. This paper presents a model‐based system engineering approach aimed at automating the transition from design to implementation, incorporating autonomous generation and validation features. Implemented as plugins and utilizing model transformation techniques, this solution targets reducing engineering time and facilitating the adoption of new technologies. Developed, implemented, and tested within the Arrowhead framework, the approach is followed by a discussion on its benefits and limitations. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10981241
Database :
Academic Search Index
Journal :
Systems Engineering
Publication Type :
Academic Journal
Accession number :
180516944
Full Text :
https://doi.org/10.1002/sys.21789