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    Modeling correction activities in the context of verification strategies

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    CorrectionActivity.pdf
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    Author
    Xu, Peng
    Salado, Alejandro
    Affiliation
    Department of Systems and Industrial Engineering, The University of Arizona
    Issue Date
    2021-11-19
    Keywords
    Bayesian network
    causal interaction
    redesign
    repair
    rework
    system verification
    uncertain evidence
    verification planning
    
    Metadata
    Show full item record
    Publisher
    Wiley
    Citation
    Xu, P., & Salado, A. (2021). Modeling correction activities in the context of verification strategies. Systems Engineering.
    Journal
    Systems Engineering
    Rights
    © 2021 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
    Correction activities (CAs), which can take the form of redesign, rework, or repair, are essential to system development. Whereas verification activities (VAs) provide information about the state of the system, CAs modify the state of the system to facilitate its correct operation. However, existing approaches to modeling and optimizing verification strategies take a simplistic approach to CAs. Specifically, CAs are modeled as an expected cost to achieve a desired confidence level after a VA has failed and are inherent to such VAs. In this paper, we present a modeling paradigm based on Bayesian networks (BNs) that captures the effects of different types of CAs. This modeling paradigm allows for the integration of verification and correction decisions (CDs) under a common framework. The modeling paradigm is illustrated in the notional case of a communication system.
    Note
    12 month embargo; published online: 19 November 2021
    ISSN
    1098-1241
    EISSN
    1520-6858
    DOI
    10.1002/sys.21609
    Version
    Final accepted manuscript
    Sponsors
    National Science Foundation
    ae974a485f413a2113503eed53cd6c53
    10.1002/sys.21609
    Scopus Count
    Collections
    UA Faculty Publications

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