Simulation-Based Verification of Avionic Systems Deployed on IMA Architectures
Bibliographic record
Abstract
To build reliable avionic applications, we interconnect Integrated Modular Avionics (IMA) architectures with Time- Triggered Ethernet (TT-Ethernet). These systems have direct impacts on human lives where the failure is unacceptable. Therefore, verification is an important issue to ensure the safety and the performance of the system. The integration of IMA architectures is a very complex and challenging engineering task. To cope with complexity and to perform verification, a model-based approach, which endows engineering teams with a methodology and an adequate tooling is of a paramount importance. To design IMA architectures interconnected with TT-Ethernet, we have proposed an extension of the AADL language in previous works. In this paper, we present a simulation-based verification of our extension and show how it can be simulated using a discrete event simulation environment called DEVS Suite. The main advantage of this technique is to perform cycle-accurate simulation of the complex avionics systems, which cannot be undertaken by model checking techniques. The tool demonstration video is available at: http://youtu.be/hwgN-a-7rzw.
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How this classification was reachedexpand
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".