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
Discrete Event System Specification (DEVS) has been widely used to describe hierarchical models of discrete systems. DEVS has also been used successfully to model with Real-Time constraints. In this paper, we introduce a methodology to verify Real-Time DEVS models, and describe the methodology by using a case study of a DEVS model of an elevator system. Our methodology applies recent advances in theoretical model checking to DEVS models. The methodology also handles the cases where theoretical approach is not feasible to cross the gap between abstract Timed Automata models and the complexity of the DEVS Real-time implementation by empirical software engineering methods. The case study is a system composed of an elevator along an elevator controller, and we show how the methodology can be applied to a real case like this one in order to improve the quality of such real-time applications. Keywords: DEVS, Formal methods verification, Real-Time software, Timed automata. I.
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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 | 0.001 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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