A Domain Specific Language for the ARINC 653 Specification
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
With the introduction of the integrated modular avionics (IMA), recent trends in avionics are to integrate dif-ferent software applications on the same hardware platform. In this context, the underlying platform embodied by a real-time operating system (RTOS) must be designed in compliance with the ARIN C 653 specification. ARIN C 653 defines an application executive (APEX) interface between the RTOS and avionics applications within IMA architecture. It specifies requirements of an environment that provides partitioning, i.e. separation of applications to ensure fault containment and ease of verification. Designing an RTOS that complies with ARIN C 653 is costly and requires significant efforts. In this paper, we introduce a domain-specific language (DSL) that supports the specification of an ARINC653-compliant RTOS. In particular, we consider ARINC 653 as a set of generic and high-level requirements, and we use model-driven technologies to specify these requirements in the form of a metamodel. The ARINC metamodel aims at supporting and reducing the cost of certification by reusing the metamodel across multiple RTOS development projects. Other benefits of the ARIN C metamodel include generating data required for certification such as ARIN C configuration tables and test data.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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