FTG+PM: Describing Engineering Processes in Multi-Paradigm Modelling
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
Model-based System Engineering (MBSE) is a methodology that uses models throughout the engineering to replace the paper-based approach of communication among stakeholders. Multi-Paradigm Modelling (MPM) is at the core of this engineering approach as for each phase in the engineering process the most appropriate models at the most appropriate levels of abstraction is used. A design process includes a set of activities in which the design decisions or evaluations of the (sub-) system properties are done. Furthermore, the design artifacts are transformed by the design activities.We can define transformations as the manipulation of a model with a specific purpose. MPM approaches do not have a standard way of representing processes. A process model for MPM should focus on the languages, model instances and transformations between these models at different levels of abstraction. In this chapter, we propose the Formalism Transformation Graph and Process Model (FTG+PM) as a standard representation of MPM processes. The described process can be simulated for analysis and orchestration, as a set of (automatic) transformations.
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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 | 0.000 | 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 | 0.001 |
| 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