Syntax and Semantics of Timed Property Sequence Chart
Bibliographic record
Abstract
为了表示事件出现的时间约束，扩展属性序列图为时间属性序列图，使其继承属性序列图的优点，并且能够表示时间属性，定义了时间属性序列图的形式语法，并给出基于时间Büchi自动机的形式操作语义;用实时规约模式度量了时间属性序列图的表达力。最后，对时间属性序列图进行了实例研究，显示了其广泛的应用前景。;In this paper, in order to make property sequence chart have timed expressiveness, the property sequence chart is extended into a timed property sequence chart that gives the semantics of the timed property sequence chart in terms of timed Büchi automaton. Then, the expressive power of timed property sequence chart is measured with the use of a recently proposed real-time specification pattern. Finally, the use of timed property sequence chart is illustrated in a case study, which shows the extensive application prospect of a timed property sequence chart in real-time system.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".