Design of an Ontologies for the Exchange of Software Engineering Data in the Aerospace Industry

Ontology Learning for Systems Engineering Body of Knowledge

“…• Current SE standards and meta-models lack interoperability and computer interpretability to support the MBSE transition (Eito-Brun, 2016;Engel et al, 2018;Ernadote, 2017;Giachetti, 2015;Givehchi et al, 2017;Madni and Sievers, 2018a;Rosa et al, 2019).…”

“…Model-based SE (MBSE) depends on the creation of digital artifacts or models to simulate the system life cycle processes. It requires that all the digital artifacts should be traceable and machine-readable, as data exchange and information transfer between various artificial models are the key to success of realizing the system (Eito-Brun, 2016). Nevertheless, current SE standards still remain document-centric (Ernadote, 2017), neglect the importance of system interoperability (Givehchi et al, 2017), and provides little guidance on knowledge sharing and integration (Engel et al, 2018).…”

Tools of Computer Modeling of the Space Systems’ Onboard Equipment Functioning

“…Программ-ную среду, реализующую стандарт SMP2, называют инфраструктурой имитационного моделирования (Simulation Infrastructure) [15]. В ра-боте [16] отмечается, что стандарты Европейского космического агентства обеспечивают нормативную основу, определяющую инфор-мационные элементы и программные компоненты, которые необхо-димо сформировать для построения собственной инфраструктуры ими-тационного моделирования.…”