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Record W1985282888 · doi:10.1145/1501434.1501512

Towards an MDA-oriented UML profile for critical infrastructure modeling

2006· article· en· W1985282888 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
FieldDecision Sciences
TopicSimulation Techniques and Applications
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsMetamodelingUnified Modeling LanguageComputer scienceInterdependenceComponent (thermodynamics)Applications of UMLSoftware engineeringSequence diagramSystems engineeringProgramming languageEngineeringSoftware

Abstract

fetched live from OpenAlex

Infrastructures are networks of highly complex systems that can be classified as socio-technical organisms with hidden consciousness. The hidden consciousness of these types of systems lies beyond their definition. Although these systems are structurally independent of any outside component, but collaborate synergistically to provide their services to the end customer. The interdependencies between these complex systems bring about sophisticated and unpredictable outcomes. In this paper we propose a platform independent metamodel for critical infrastructures. The metamodel precisely defines every aspect of an infrastructure through clear syntactical and semantic definition of existing concepts and relationships. The Platform independent model (PIM) has been defined as a UML profile (UML-CI) and serves as one of the first steps towards building an agent based simulation environment.

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)0.001
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: none
Teacher disagreement score0.721
Threshold uncertainty score0.704

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.085
GPT teacher head0.448
Teacher spread0.362 · 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

Quick stats

Citations9
Published2006
Admission routes1
Has abstractyes

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