MétaCan
Menu
Back to cohort
Record W1579242259 · doi:10.5555/2048476.2048504

Transforming UML2.0 class diagrams and statecharts to atomic DEVS

2011· article· en· W1579242259 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

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicModel-Driven Software Engineering Techniques
Canadian institutionsMcGill University
Fundersnot available
KeywordsDEVSComputer scienceFormalism (music)Class diagramModular designProgramming languageTheoretical computer scienceClass (philosophy)Unified Modeling LanguageModeling and simulationArtificial intelligenceSimulationSoftware

Abstract

fetched live from OpenAlex

We propose a translation process by which a UML2.0 Class Diagram model, along with Statechart models used to describe the behaviour of each of the instances of the classes in the Class Diagram, is transformed into a single, behaviourally equivalent Atomic DEVS model. Statecharts language features such as hierarchical and orthogonal states allow for intuitive modelling of reactive, timed behaviour. Variable structure and modularity are the prominent features of UML2.0 Class Diagrams. DEVS is a highly modular, hierarchical formalism that can be used as a semantic domain for a variety of modelling languages.We validate our approach using a concrete example. We transform the UML2.0 Class Diagram + Statechart model of a digital watch to its Atomic DEVS equivalent and subsequently couple it with a model of a user (the environment) modelled as an Atomic DEVS.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.559
Threshold uncertainty score0.475

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.023
GPT teacher head0.219
Teacher spread0.196 · 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