Managing a Satellite Product Line Utilizing Composable Architecture Modeling
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
Lockheed Martin Space Systems Company has developed and piloted a composable modeling methodology in the update of the A2100 satellite product line. The composable design methodology leverages the model based systems engineering language, SysML, to formally define product line variation, relationships and decisions. The composable modeling methodology extends the SysML language through the use of specific relationships and modeling patterns. Managing a satellite product line which has flexibility to serve a variety of missions defines a large and varied design space; composable modeling offers a methodology to manage and control the commonality while enabling variation in an efficient and data-rich environment. Through application of these modeling techniques Lockheed Martin SSC has enabled rapid system configuration and evaluation. This paper explores the composable modeling methodology as implemented on the A2100 product line, as well as challenges and value of maintaining and operating in a composable modeling environment.
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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) | 0.000 | 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 | 0.000 | 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