A MDA-Based Model-Driven Approach to Generate GUI for Mobile Applications
Bibliographic record
Abstract
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 offer an automated way to generate a Graphical User Interface (GUI) for such applications. In this paper, we propose a MDA-based model-driven approach to generate the GUI for mobile applications. The adopted approach consists of four main steps (i) modeling the GUI under UML; (ii) transforming the obtained diagrams to a simplified XMI schema; (iii) model-to-model transformation; and (iv) model-to-code generation. Our method has the advantages to give a graphical way for designing under UML. Currently, the method has been implemented to support two platforms Android and BlackBerry. The applicability of the approach is demonstrated via a case study that illustrates the GUI code generation for mobile platforms.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".