Transformation from CIM to PIM Using Patterns and Archetypes
Why this work is in the frame
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Bibliographic record
Abstract
Model transformations form a key part of MDA (model-driven architecture). Most of the studies deal with the transformations from PIM (platform-independent model) to PSM (platform-specific model) and PSM to Code, but very few deal with the transformation from CIM (computation-independent model) to PIM. This last transformation usually depends on business analysts' and software architects' experience and creativity. This paper proposes a disciplined approach to transform a CIM into a PIM. It first uses UML2 activity diagrams to model the business processes up to the users' tasks. The activity diagrams are then detailed to specify the system requirements. The system components are directly deduced from the requirement model elements. Finally, a set of business archetypes helps detail the system components to yield the PIM. The same approach applies equally to CIM and PIM built to model inter-enterprise processes and systems. A case study illustrates our approach. It demonstrates how it reinforces the components traceability and reusability and how it globally improves the modeler's efficiency. Furthermore, the use of the activity diagrams, as a single technique to build business process and requirement models, is an important facilitator which prepares our further work to automate this approach.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| 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