Please use this identifier to cite or link to this item:
https://dair.nps.edu/handle/123456789/4935
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jeremy Werner | - |
dc.date.accessioned | 2023-05-07T02:55:03Z | - |
dc.date.available | 2023-05-07T02:55:03Z | - |
dc.date.issued | 2023-05-01 | - |
dc.identifier.citation | APA | en_US |
dc.identifier.uri | https://dair.nps.edu/handle/123456789/4935 | - |
dc.description | SYM Presentation | en_US |
dc.description.abstract | Our earlier paper Data Driven Modeling and Simulation to Test the Internet of War Things described how (Werner, 2023): The Director, Operational Test and Evaluation’s Strategic Initiatives, Policy, and Emerging Technologies division (DOT&E SIPET) is shaping the test and evaluation (T&E) of future multi-domain warfighting. and how: Comprehensive Live testing of multi-domain capabilities currently under development is not possible due to environmental, fiscal, safety, classification, and ethical constraints, and so our evaluations will become more dependent on modeling and simulation (M&S) to test the efficacy and interoperability of our systems. That paper was written for a general audience but still explored the following technical challenges: • Architecting M&S and live tests to engender a “predict, live test, refine” feedback loop to improve M&S accuracy over systems' lifecycles • Ensuring integration across all warfighting domains and digital capabilities • Fielding M&S as a service so that the skillset required to operate it and understand its outputs mirrors the skills required of warfighters in the real world • Implementing an environment with real-time analysis and accurate results for T&E and operational decisions The present paper complements the earlier one by targeting a DOD technical audience and addressing several more challenges we see within the DOD: • Using M&S to credibly extrapolate outside of the operational envelope covered in live test • Rigorous lifecycle approaches to V&V that are centered around quantitative estimates of uncertainty • Accelerating M&S processing times • The risk that we do all of this rigorous work and our models still turn out to be wrong • Providing policy, guidance, best practices, executable examples, and training an M&S V&V/Uncertainty Quantification (UQ) workforce within the DOD. that we must overcome to outpace our adversaries’ capabilities. | en_US |
dc.description.sponsorship | Acquisition Research Program | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Acquisition Research Program | en_US |
dc.relation.ispartofseries | Acquisition Management;SYM-AM-23-168 | - |
dc.subject | Modeling and Simulation | en_US |
dc.subject | Statistics | en_US |
dc.subject | Design of Experiments | en_US |
dc.subject | verification and validation | en_US |
dc.title | Towards an Enterprise All-Domain M&S Environment for T&E: Overcoming M&S Challenges within the DOD | en_US |
dc.type | Presentation | en_US |
Appears in Collections: | Annual Acquisition Research Symposium Proceedings & Presentations |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
SYM-AM-23-168.pdf | 280.39 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.