An Extension for AADL to Model Mixed-criticality Avionic Systems Deployed on IMA architectures with TTEthernet
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract. Integrated modular avionics architectures combined with the emerging SAE TTEthernet standard provides a strong infrastructure for the deployment of mixed-critical avionic applications having stringent safety, reliability and performance requirements. The integration of such systems is a very complex and challenging engineering task. Therefore, a model-based approach, which endows system engineers with a method-ology and the supporting tools to cope with this complexity, is of a paramount importance. In this research paper, we present an extension for the standard architecture and analysis modeling language AADL to enable modeling integrated multi-critical avionic applications deployed on TTEthernet-based IMA architectures. In particular, we present a metamodel which extends the core AADL metamodel with concepts and constraints relevant for this domain, we define the concrete textual syn-tax for this extension and we outline the implementation of this extension
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it