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Record W2146624606 · doi:10.1109/aiccsa.2001.934002

Formalizing COSMIC-FFP using ROOM

2002· article· en· W2146624606 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
FieldComputer Science
TopicModel-Driven Software Engineering Techniques
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsCOSMIC cancer databaseComputer scienceCosmic rayFunction pointSoftwareAstronomyProgramming languagePhysicsSoftware development

Abstract

fetched live from OpenAlex

We propose a formalization of the COSMIC Full Function Point (COSMIC-FFP) measure for the Real-time Object Oriented Modeling (ROOM) language. COSMIC-FFP is a measure of the functional size of software. It has been proposed by the COSMIC group as an adaptation of the function point measure for real-time systems. The definition of COSMIC-FFP is general and can be applied to any specification language. The benefits of our formalization are twofold. First it eliminates measurement variance, because the COSMIC informal definition is subject to interpretation by COSMIC-FFP raters, which may lead to different counts for the same specification, depending on the interpretation made by each rater. Second it allows the automation of COSMIC-FFP measurement for ROOM specifications, which reduces measurement costs. Finally, the formal definition of COSMIC-FFP can provide a clear and unambiguous characterization of COSMIC-FFP concepts which is helpful for measuring COSMIC-FFP for other object-oriented notations like UML.

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: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.944
Threshold uncertainty score0.418

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 communication0.0000.001
Open science0.0010.000
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 head0.046
GPT teacher head0.241
Teacher spread0.195 · 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