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6.4.2 Systems Engineering International Standards and Support Tools for Very Small Enterprises

2014· article· en· W1555257756 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

VenueINCOSE International Symposium · 2014
Typearticle
Languageen
FieldEngineering
TopicSystems Engineering Methodologies and Applications
Canadian institutionsÉcole de Technologie Supérieure
Fundersnot available
KeywordsCertificationSoftware deploymentEngineering managementSystems engineeringEngineeringWork (physics)Scheme (mathematics)International standardConfiguration Management (ITSM)Set (abstract data type)ITIL security managementSoftware engineeringComputer scienceComputer securityMechanical engineeringTelecommunicationsManagement

Abstract

fetched live from OpenAlex

Abstract Very small entities are very important to the world‐wide economy. The products they develop are often integrated into products made by larger enterprises. To address their needs, a set of ISO/IEC 29110 systems engineering standards and guides, such as a management and engineering guide, has been developed using ISO/IEC/IEEE 15288. The INCOSE systems engineering handbook is used as the main reference for the development of a set of systems engineering deployment packages. A deployment package is a set of artefacts designed to facilitate the implementation of a standard or a set of practices in a very small entity. Two pilot projects using the new ISO/IEC 29110 are presented. A cost and benefits analysis from implementing ISO/IEC 29110 in an engineering firm is also presented as well as the future ISO/IEC 29110 management and engineering guide for start‐ups and for projects requiring no more than six person‐months of work. Finally, the certification scheme is discussed as well as future developments.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.925
Threshold uncertainty score0.844

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 communication0.0000.000
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 head0.022
GPT teacher head0.261
Teacher spread0.239 · 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