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Record W2538469867 · doi:10.1109/icocs.2012.6458567

GUI code generation for Android applications using a MDA approach

2012· article· en· W2538469867 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 du Québec à Rimouski
Fundersnot available
KeywordsUnified Modeling LanguageComputer scienceGraphical user interfaceAndroid (operating system)Programming languageCode generationModel driven developmentGraphical user interface testingSoftware engineeringUser interfaceEmbedded systemOperating systemSoftwareUser interface design

Abstract

fetched live from OpenAlex

Developing applications for mobile platforms is a compound task, due to variability of mobile OSs and the number of different devices that need to be supported. Model-Driven Architecture (MDA) approach could provide a possible solution to provide an automated way to generate a Graphical User Interface (GUI) for such applications. In this paper, we propose an approach based on MDA, to generate GUI for mobile applications on smartphones. The adopted approach consists of three main steps (i) analyzing and modeling the GUI under UML; (ii) transforming the obtained diagrams to a simplified XMI schema using JDOM API; and (iii) generating the GUI based on MDA. Our method has the advantages to generate automatically GUI for several platforms, and gives a graphical way for designing in 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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.944
Threshold uncertainty score0.313

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 science0.0000.000
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 head0.088
GPT teacher head0.303
Teacher spread0.215 · 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