Please use this identifier to cite or link to this item: https://dair.nps.edu/handle/123456789/4866
Full metadata record
DC FieldValueLanguage
dc.contributor.authorJeremy Werner-
dc.date.accessioned2023-05-05T13:11:38Z-
dc.date.available2023-05-05T13:11:38Z-
dc.date.issued2023-05-01-
dc.identifier.citationAPAen_US
dc.identifier.urihttps://dair.nps.edu/handle/123456789/4866-
dc.descriptionProceedings Paperen_US
dc.description.abstractOur 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.sponsorshipAcquisition Research Programen_US
dc.language.isoen_USen_US
dc.publisherAcquisition Research Programen_US
dc.relation.ispartofseriesAcquisition Management;SYM-AM-23-099-
dc.subjectModeling and Simulationen_US
dc.subjectStatisticsen_US
dc.subjectDesign of Experimentsen_US
dc.subjectverification and validationen_US
dc.subjectaccreditationen_US
dc.titleTowards an Enterprise All-Domain M&S Environment for T&E: Overcoming M&S Challenges within the DODen_US
dc.typeTechnical Reporten_US
Appears in Collections:Annual Acquisition Research Symposium Proceedings & Presentations

Files in This Item:
File Description SizeFormat 
SYM-AM-23-099.pdf409.24 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.