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Record W2227838144

Introduciendo conceptos de metrologia en el diseno de medidas de software

2008· article· es· W2227838144 on OpenAlexaff
Nelli Condori-Fernandez, Óscar Pastor, Alain Abran, Asma Sellami

Bibliographic record

VenueConferencia Iberoamericana de Software Engineering · 2008
Typearticle
Languagees
FieldComputer Science
TopicSoftware Engineering Research
Canadian institutionsÉcole de Technologie Supérieure
Fundersnot available
KeywordsHumanitiesComputer sciencePhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Resumen. Una revision del vocabulario internacional de terminos de metrologia fue llevada a cabo con el fin de identificar los conceptos que debieran ser considerados en el diseno de las medidas de tamano de software. Luego, un analisis es llevado a cabo sobre el diseno de un procedimiento de medicion de tamano funcional, llamado RmFFP. Los resultados muestran que RmFFP considera la mayoria de los conceptos de metrologia en comparacion con otras medidas definidas en base a otros estandares.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.009
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.015
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0060.005
Science and technology studies0.0020.007
Scholarly communication0.0080.014
Open science0.0020.004
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0090.003

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 head0.015
GPT teacher head0.262
Teacher spread0.247 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2008
Admission routes1
Has abstractyes

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