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Record W2403726237

Towards automating Interface Control Documents elaboration and management

2014· article· en· W2403726237 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
FieldEngineering
TopicManufacturing Process and Optimization
Canadian institutionsCarleton UniversityÉcole de Technologie Supérieure
Fundersnot available
KeywordsComputer scienceInteroperabilitySoftware engineeringInterface (matter)Modular designAvionicsArchitectureElaborationDomain (mathematical analysis)Integrated modular avionicsProcess (computing)User interfaceSoftware architectureEmbedded systemSoftwareOperating systemEngineering
DOInot available

Abstract

fetched live from OpenAlex

Abstract. Avionic systems have been migrating from the legacy federated ar-chitecture towards an integrated modular architecture (IMA). The IMA archi-tecture replaces the equipment principle by a set of interoperable components (hardware and software). The interoperability between the integrated compo-nents requires a detailed specification and description of their interfaces, which, in the avionic domain, is usually written in Interface Control Documents (ICD). However, ICD creation and usage during the integration process is challenging. In fact, the two main problems with the usage of ICDs are the lack of a com-monly accepted language to define and use them on the one hand, and the lack of tool support in their production and consumption. In this paper, we present our approach and methodology to overcome these limitations.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.961
Threshold uncertainty score0.208

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 head0.003
GPT teacher head0.203
Teacher spread0.200 · 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

Citations6
Published2014
Admission routes1
Has abstractyes

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