9.2.1 Using SysML and UML To Develop and Implement Interoperable System Components for Engagement Simulations
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 Torpedo Enterprise Advanced Modeling and Simulation (TEAMS) project is an initiative funded by the Office of Naval Research to develop a cross‐enterprise, collaborative undersea warfare modeling and simulation (M&S) environment using reusable components that can be composed into simulations. This environment will include an open systems architecture and result in the sharing and leveraging of legacy and new‐development resources; it will support the development of M&S tools and the application of these tools across the lifecycle of undersea weapons. TEAMS initial model was delivered in the Unified Modeling Language (UML). When the Object Management Group (OMG) adopted the OMG System Modeling Language (OMG SysML™) specification, the Open Systems Joint Task Force of the Office of Secretary of Defense funded TEAMS to assess the utility of applying SysML in place of UML. This paper describes the torpedo M&S domain as it relates to TEAMS, discusses the application of SysML to existing UML artifacts, and assesses the utility of SysML from the TEAMS perspective.
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 | 0.000 |
| 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