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    An ontology‐based digital test and evaluation master plan (dTEMP) compliant with DoD policy

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    Name:
    Digital TEMP Journal v2.2.pdf
    Size:
    1.011Mb
    Format:
    PDF
    Description:
    Final Accepted Manuscript
    Download
    Author
    Gregory, Joe
    Salado, Alejandro
    Affiliation
    Department of Systems and Industrial Engineering, The University of Arizona
    Issue Date
    2024-05-28
    Keywords
    digital engineering (DE)
    model-based systems engineering (MBSE)
    ontology
    semantic technologies
    test and evaluation
    
    Metadata
    Show full item record
    Publisher
    Wiley
    Citation
    Gregory, J., & Salado, A. (2024). An ontology‐based digital test and evaluation master plan (dTEMP) compliant with DoD policy. Systems Engineering.
    Journal
    Systems Engineering
    Rights
    © 2024 Wiley Periodicals LLC.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    Test and evaluation (TE) planning is a critical part of systems engineering. However, it has not received as much attention from digital engineering efforts as early-stage design and analysis. Digital engineering has the potential to reduce the risk and effort associated with TE, while leveraging existing digital capabilities to add value. One aspect in particular that may benefit from such attention is the Department of Defense's Test and Evaluation Master Plan (TEMP). The purpose of the TEMP is to identify the key processes with respect to the TE of a product, and to specify the roles and responsibilities of key personnel and organizations. Concerns have been raised regarding the document-based nature of the TEMP and the increased risk and reduced reward that this entails. In this paper, we investigate the potential benefits of digitalizing the TEMP and outline an incremental approach for achieving this. We also present a set of ontologies, collectively known as the Digital TEMP (dTEMP), and investigate potential benefits and limitations by applying the dTEMP to an example test program.
    Note
    12 month embargo; first published 28 May 2024
    ISSN
    1098-1241
    EISSN
    1520-6858
    DOI
    10.1002/sys.21769
    Version
    Final accepted manuscript
    Sponsors
    U.S. Department of Defense
    ae974a485f413a2113503eed53cd6c53
    10.1002/sys.21769
    Scopus Count
    Collections
    UA Faculty Publications

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