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Record W2179793844

gRUP- A Globalized Approach to Software Engineering.

2008· article· en· W2179793844 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

VenueSoftware Engineering and Data Engineering · 2008
Typearticle
Languageen
FieldComputer Science
TopicSoftware Engineering Techniques and Practices
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsGlobalizationRational Unified ProcessInternationalizationComputer scienceProcess (computing)SoftwareScheduleSoftware engineeringSoftware development processSoftware qualitySoftware developmentProcess managementSystems engineeringEngineeringBusinessEconomicsInternational trade
DOInot available

Abstract

fetched live from OpenAlex

This research has the main objective of enhancing the Rational Unified Process to better address the emerging new Globalization and Internationalization requirements of modern software, focusing on integrating the Globalization Processes, Artifacts, Roles, Activities, and best practices into the Rational Unified Process (RUP). RUP is a well established Software Development Process (SDP) that intends to guarantee quality by controlling the project schedule, budget, communication, productivity, and trustworthiness. Meanwhile, the gRUP - produced in the coarse of this research - intends to guarantee that the developed software is ready for globalization, matches the required globalization and internationalization requirements, and ensures the implementation of best practices and tests to guarantee that the produced software is globalization ready. gRUP is constructed by incorporating essential globalization activities and artifacts into RUP, and incorporates an additional Globalization Discipline to the standard nine RUP disciplines.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.218
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0030.002
Research integrity0.0000.001
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 head0.030
GPT teacher head0.246
Teacher spread0.216 · 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