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Record W2769458607 · doi:10.1145/3143434.3143446

COSMIC (ISO 19761) certification

2017· article· en· W2769458607 on OpenAlexaff
Jean‐Marc Desharnais, Alain Abran

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicSoftware Engineering Techniques and Practices
Canadian institutionsÉcole de Technologie Supérieure
Fundersnot available
KeywordsCertificationIdentification (biology)Scope (computer science)Computer scienceTask (project management)Set (abstract data type)COSMIC cancer databaseMedical educationEngineeringMedicineAstronomySystems engineeringManagementPhysicsProgramming language

Abstract

fetched live from OpenAlex

A certification exam is a test of knowledge on a specific subject to ensure qualification to perform a certain job or task. For the COSMIC organization, the scope of the certification exam includes the set of rules and procedures for measuring the functional size of software. The first exam was held in April 2006 and, since then, hundreds of participants from various countries have become COSMIC-certified. The motivation for the analysis reported here was to identify and investigate certification questions causing difficulties for examinees. The analysis presented is based on versions 3.1 and 4.0.1 of the COSMIC Measurement Manual and on the certification exams conducted in 2016. The data collected allows identification, for training purposes, of variations in the levels of understanding of the distinct sections of the COSMIC Measurement Manual or, if the source of wrong answers were not examinee-dependent, identification of questions needing improvements in wording.

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)0.008
metaresearch head score (Gemma)0.036
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.031
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.036
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0160.011
Science and technology studies0.0020.002
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0180.016

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 head0.044
GPT teacher head0.302
Teacher spread0.258 · 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 designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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