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Record W2921434966 · doi:10.5220/0007382000980106

Umple as a Template Language (Umple-TL)

2019· article· en· W2921434966 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 institutionsUniversity of Ottawa
Fundersnot available
KeywordsSublanguageComputer scienceProgramming languageJavaExecutableTemplateDependency (UML)Term (time)Independence (probability theory)Natural language processingArtificial intelligence

Abstract

fetched live from OpenAlex

We extend Umple, a model-oriented programming language, to incorporate text emission from templates as an integral feature. Umple as a template language (Umple-TL) is the term we use to describe the template sublanguage of Umple. Using Umple-TL, developers can benefit from synergies among UML modelling, templating and programming in several target languages (Java, C++), all in one textual language – Umple. Umple itself is written in Umple; using Umple-TL, we eliminated Umple's dependency on third-party libraries for text emission. We also support any other application developed in JET to be converted to use Umple-TL and attain benefits such as smaller and faster executables, target-language independence and IDE independence. The word ‘template’ in this paper refers to patterns for the generation of output, and not to generic types, another common use of the term.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.931
Threshold uncertainty score0.999

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.004
GPT teacher head0.227
Teacher spread0.223 · 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