5.5.3 Supportability Assessment and Evaluation During System Architecture Development
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
Abstract The purpose of this technical paper is to present a framework for the evaluation of system architectures from a supportability and logistics perspective. A two‐pronged approach was implemented. The initial focus was on investigating the extent to which this issue had been addressed in the literature. Accordingly, this paper also presents a literature survey focused on the assessment and evaluation of system architectures in general, and their assessment and evaluation from a supportability perspective in particular. As part of the second thrust, leading system engineering practitioners and architects from the aerospace industry were interviewed. In this case, the objective was to synthesize the heuristic and experiential aspect of system architecture assessment and evaluation. The above two thrusts, theoretical and heuristic, led to the development of a domain independent evaluation framework represented in the form of an attribute hierarchy. The input information synthesized by this research, which lead to the evaluation framework development is presented in this technical paper. The Analytic Hierarchy Process (AHP) methodology is suggested as the preferred approach for the relative evaluation of alternative architectural approaches. Finally, extensions to this framework for increased applicability within specific domains are addressed.
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 | 0.000 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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