A Service-oriented Process to Develop Web Applications
Bibliographic record
Abstract
Web applications are widely disseminated, but, traditional development methods for this type of application still require a substantial amount of new modeling and programming. Current methods do not take significant advantage of reuse techniques, such as software product lines (PL). This paper presents the WIDE-PL environment focusing on its application generation process, called Application DEvelopment based on Services - ADESE. This environment is an evolution of WIDE - Waterloo Informatics Development Environment. The WIDE-PL environment supports the generation of Web applications based on the Service-oriented Architecture (SOA) and the product line approach. Our solution encompasses a general software architecture, an application generation process, and a set of mandatory and optional services. Examples of applications from two different domains were developed using ADESE to evaluate its feasibility. The results show that the process offers several advantages including an increase in reuse and an explicit separation between the services and the business process connecting those services.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.005 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.009 |
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 teacher head, 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".