This paper proposes a framework using a community maturity level metric to determine the integration readiness of interface elements in a particular network cluster. As a proof of concept this methodology is applied to an aircraft seating system to assess the readiness of complex interfaces before proceeding to full-scale production and systems integration. A multi-objective genetic algorithm, MOGA-Net, is coupled with the Newman-Girvan modularity metric as a clustering algorithm. This algorithm identifies system elements grouped by common interfaces, referred to as community clusters. The TRL and IRL values for these elements is then used to calculate an overall community maturity level. The achieved performance in these clusters is then compared to the target performance to determine overall maturity of the interfaces. This is compared to other system readiness metrics and interface readiness metrics as applied to the aircraft seating system and was found to be more consistent with subject matter expert evaluations during the critical design review. This gives a better representation of the true readiness of system interfaces before entering design reviews to reduce overall integration risks.

中文翻译：

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一种基于集群的大型航空航天系统界面分析框架

本文提出了一个框架，该框架使用社区成熟度级别度量来确定特定网络集群中接口元素的集成准备情况。作为概念证明，此方法应用于飞机座椅系统，以在进行全面生产和系统集成之前评估复杂接口的准备情况。多目标遗传算法 MOGA-Net 与作为聚类算法的 Newman-Girvan 模块化度量相结合。该算法识别按公共接口分组的系统元素，称为社区集群。然后使用这些元素的 TRL 和 IRL 值来计算整体社区成熟度级别。然后将这些集群中实现的性能与目标性能进行比较，以确定接口的整体成​​熟度。这与应用于飞机座椅系统的其他系统就绪度量和接口就绪度量进行了比较，并且在关键设计审查期间被发现与主题专家评估更加一致。在进入设计审查之前，这可以更好地表示系统接口的真实准备情况，以降低整体集成风险。