Model oriented programming: an empirical study of comprehension
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Bibliographic record
Abstract
Many tools and approaches support the use of modeling abstractions in textual form. However, there have been few studies about whether textual models are as comprehensible as graphical models. We present an experiment investigating the understandability of three different notations: Systems modeled in UML, and the same systems in both Java and Umple. Umple is a model-oriented programming technology that enhances languages like Java and PHP with textual modeling abstractions. It was designed to bridge the gap between textual and graphical modeling. Our experiment asked participants to answer questions reflecting their level of comprehension. The results reveal that for simple comprehension tasks, a visual model and a textual model are comparable. Java's comprehension levels were lowest of all three notations. Our results align with the intuition that raising the abstraction levels of common object-oriented programming languages enhances comprehensibility.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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