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Record W2335568261 · doi:10.3724/sp.j.1001.2010.03711

Syntax and Semantics of Timed Property Sequence Chart

2011· article· en· W2335568261 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Software · 2011
Typearticle
Languageen
FieldComputer Science
TopicFormal Methods in Verification
Canadian institutionsParkinson Canada
FundersFundamental Research Funds for the Central UniversitiesNational Natural Science Foundation of China
KeywordsSequence (biology)ChartComputer scienceProperty (philosophy)Programming languageExpressive powerSyntaxSpecification patternSemantics (computer science)AutomatonAlgorithmTheoretical computer scienceNatural language processingMathematicsSoftwareStatisticsSoftware development

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.830
Threshold uncertainty score0.155

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.094
GPT teacher head0.278
Teacher spread0.184 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it