Real-time Kernel Implementation Practice Program for Embedded Software Engineers' Education and its Evaluation
Bibliographic record
Abstract
A real-time kernel (henceforth RTK) is in the center place of embedded software technology, and the understanding of RTK is indispensable for the embedded system design. To implement RTK, it is necessary to understand languages that describe RTK software program code, system programming manners, software development tools, CPU on that RTK runs and the interface between software and hardware, etc. in addition to understanding of RTK itself. This means RTK implementation process largely covers embedded software implementation process. Therefore, it is thought that RTK implementation practice program is very effective as a means of the acquisition of common embedded software skill in addition to deeper acquisition of RTK itself. In this paper, we propose to apply RTK implementing practice program to embedded software engineers educational program. We newly developed very small and step-up type RTK named μK for educational use, and held a seminar that used μK as a teaching material for the students of information science and engineers of the software house. As a result, we confirmed that RTK implementation practice program is very effective for the acquisition of embedded software common skill.
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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 | 0.001 | 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 | 0.002 |
| Open science | 0.000 | 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 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".