UCAnDoModels: A Context-Based Model Editor for Editing and Debugging UML Class and State-Machine Diagrams
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.
Bibliographic record
Abstract
Practitioners face cognitive challenges when using model editors to edit and debug UML models, which make them reluctant to adopt modelling. To assist practitioners in their modelling tasks, we have developed effective and easy-to-use tooling techniques and interfaces that address some of these challenges. The principle philosophy behind our tool is to employ cognitive-based techniques such as Focus+Context interfaces and increased automation of modelling tasks, in order to provide the users with valid, relevant and meaningful contextual information that are essential to fulfil a focus task (e.g., writing a transition expression). This paper presents our approach, which we call User-Centric and Artefact-centric Development of Models (UCAnDoModels), and discusses two use-case scenarios to demonstrate how our tooling techniques can enhance the user experience with modelling tools.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it