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Early Implementation of a Cognitive Assistant for Identifying Requirement Gaps

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The Proceedings of the 2023 Conference on Systems Engineering Research (CSER 2023)

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Abstract

Requirements define the problem boundaries within which an engineering team tries to find acceptable solutions. Gaps in requirements formulation can lead to solutions that are not fit for purpose. However, the completeness of a set of requirements cannot be demonstrated; rather, completeness is an attempt, a best-effort pursuit. In current practice, where requirement gaps are frequent in system development, the human (engineer or team of engineers) becomes a major factor in the comprehensiveness of the resulting set of requirements. In this paper, we present an early implementation of a cognitive assistant that supports the (human) engineer in identifying gaps in the form of aSysML plugin for Magic Systems of Systems Architect.

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Acknowledgments

This material is based on work sponsored by the Department of the Navy, Naval Engineering Education Consortium, award number N00174-19-1-0012. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the Naval Engineering Education Consortium.

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Authors and Affiliations

  1. University of Arizona, Tucson, AZ, USA

    Nicholas Campagnari, Chris A. Macholtz, Nicholas C. Eng, Miguel Rodriguez & Alejandro Salado

Authors
  1. Nicholas Campagnari
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  2. Chris A. Macholtz
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  3. Nicholas C. Eng
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  4. Miguel Rodriguez
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  5. Alejandro Salado
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Corresponding author

Correspondence to Alejandro Salado .

Editor information

Editors and Affiliations

  1. Stevens Institute of Technology, Hoboken, NJ, USA

    Dinesh Verma

  2. Astronautics Aerospace and Mechanical Engineering Department, University of Southern California, Los Angeles, CA, USA

    Azad M. Madni

  3. Endevor, Wilmington, DE, USA

    Steven Hoffenson

  4. Stevens Institute of Technology, Hoboken, NJ, USA

    Lu Xiao

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Campagnari, N., Macholtz, C.A., Eng, N.C., Rodriguez, M., Salado, A. (2024). Early Implementation of a Cognitive Assistant for Identifying Requirement Gaps. In: Verma, D., Madni, A.M., Hoffenson, S., Xiao, L. (eds) The Proceedings of the 2023 Conference on Systems Engineering Research. CSER 2023. Conference on Systems Engineering Research Series. Springer, Cham. https://doi.org/10.1007/978-3-031-49179-5_28

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  • DOI: https://doi.org/10.1007/978-3-031-49179-5_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-49178-8

  • Online ISBN: 978-3-031-49179-5

  • eBook Packages: EngineeringEngineering (R0)

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