On the modularization provided by concern-oriented reuse
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
Reuse is essential in modern software engineering, and hence also in the context of model-driven engineering (MDE). Concern-Oriented Reuse (CORE) proposes a new way of structuring model-driven software development where models of the system are modularized by domains of abstraction within units of reuse called concerns. Within a concern, models are further decomposed and modularized by views and features. High-level concerns can reuse lower-level concerns, and models within a concern can extend other models belonging to the same concern, resulting in complex inter- and intra-concern dependencies. To clearly specify what dependencies are allowed between models belonging to the same or to different concerns, CORE advocates a three-part interface to describe each concern (variation, customization, and usage interfaces). This paper presents the CORE metamodel that formalizes the CORE concepts and enables the integration of different mod- elling languages within the CORE framework.
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 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 | 0.004 |
| 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 | 0.001 | 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