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Erschienen in:
PySysML2: Building Knowledge from Models with SysML v2 and Python Kapitel lesen Erstes Kapitel lesen

2024 | OriginalPaper | Buchkapitel

Early Implementation of a Cognitive Assistant for Identifying Requirement Gaps

verfasst von : Nicholas Campagnari, Chris A. Macholtz, Nicholas C. Eng, Miguel Rodriguez, Alejandro Salado

Erschienen in: The Proceedings of the 2023 Conference on Systems Engineering Research

Verlag: Springer Nature Switzerland

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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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Vorheriges Kapitel Product Herding for Intelligent Systems
Nächstes Kapitel An Interactive Dashboard to Support Design of an Artillery System
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Metadaten
Titel
Early Implementation of a Cognitive Assistant for Identifying Requirement Gaps
verfasst von
Nicholas Campagnari
Chris A. Macholtz
Nicholas C. Eng
Miguel Rodriguez
Alejandro Salado
Copyright-Jahr
2024
Buch
The Proceedings of the 2023 Conference on Systems Engineering Research

Print ISBN: 978-3-031-49178-8

Electronic ISBN: 978-3-031-49179-5

Copyright-Jahr: 2024

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

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