Model Based Engineering for Advanced Integrated Modular Avionics - Focus and Challenges
Notice bibliographique
Résumé
Advanced Integrated Modular Avionics (A-IMA) will drive new focus and challenges for Model Based Engineering (MBE). First, there is the need to bridge MBE to legacy system elements that were developed without MBE along with the need to handle hybrid Open System Architecture / Integrated Modular Avionics (OSA/IMA) based architectures. Second, there is the need for MBE to be reusable and interoperable across product development cycles as technology insertions occur. Third, there is the need for integration of MBE into synthesizable descriptions that can also be effectively validated for mixed general purpose, safety, and secure computing and networking environments. Fourth is the need for effective application of MBE in hybrid waterfall and agile development environments where target infrastructure is scalable in capability and cost. Fifth is the need for MBE to support partitioned roles across companies, government, and universities where one entity does requirements, one does architecture, one develops components, one provides formal test, and another provides system sustainment. There are a number of industry and university efforts underway to address these focus items and challenges spread across these adjacent MBE complex system domains. This paper is focused on the current state of each of these areas relative to use in A-IMA systems based on industry initiatives and academic research. It uses the driverless car for comparison as an emerging "Advanced Integrated Modular Architecture" and identifies its parallel approaches to address these focused items and challenges. This work is being built on the authors' work exploring dual use technologies being developed for the driverless car domain that will lead to a market of 10 Million autonomous cars operating in 2020. Previous papers have addressed identification of potential advanced automotive dual use transformational hardware and software technologies including many core processing, advanced software autonomy and data fusion components, unified mixed criticality networking, and integrated cyber security for A-IMA. A testbed has also been recently proposed as a mechanism to evaluate these dual use technologies in an A-IMA context. This paper extends the dual use view to include understanding of the best-of-breed avionics MBE environment and how it can be complementary to leveraging a testbed environment in addressing affordable, scalable, and open solutions.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».