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

Fuente: Wiley Open Access
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Autores principales: Cristina Paniagua, Fernando Labra Caso
Formato: Artículo Open Access
Publicado: Wiley 2024
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author Cristina Paniagua
Fernando Labra Caso
author_facet Cristina Paniagua
Fernando Labra Caso
Cristina Paniagua
Fernando Labra Caso
collection Wiley Open Access
contents Models2Code: Autonomous model‐based generation to expedite the engineering process Cristina Paniagua Fernando Labra Caso Systems Engineering 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. 10.1002/sys.21789 http://creativecommons.org/licenses/by-nc/4.0/
doi_str_mv 10.1002/sys.21789
format Artículo Open Access
id wiley_oa_10_1002_sys_21789
institution Wiley Open Access
license_str_mv http://creativecommons.org/licenses/by-nc/4.0/
publishDate 2024
publisher Wiley
record_format wiley_oa
spellingShingle Models2Code: Autonomous model‐based generation to expedite the engineering process
Cristina Paniagua
Fernando Labra Caso
Systems Engineering
Models2Code: Autonomous model‐based generation to expedite the engineering process Cristina Paniagua Fernando Labra Caso Systems Engineering 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. 10.1002/sys.21789 http://creativecommons.org/licenses/by-nc/4.0/
title Models2Code: Autonomous model‐based generation to expedite the engineering process
topic Systems Engineering
url https://incose.onlinelibrary.wiley.com/doi/10.1002/sys.21789