Systems Engineering Methods for Validation and Verification of Changes to Legacy Fielded Systems

Amy Eddy, J. Daily
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引用次数: 1

Abstract

Life Cycle Systems Engineering is an iterative process which relies on feedback loops from the operational phase to facilitate continuous system improvement tasks so that systems stay relevant in changing operational environments. In the aerospace defense industry, real world operational data can be used as feedback to identify impacts to the system unrelated to the physical product. Operational data includes both physical system performance metrics, as well as performance of all the supporting non-product related system characteristics called operational feasibility elements. Operational feasibility elements such as processes, people, training, supportability, and maintainability play a significant role in overall system performance. Operational data can be used to inform the next iteration of the systems engineering process and enables updates to policy/processes, models, simulations, and analyses in addition to more common physical product updates. Failure to utilize operational data as validation of system performance may result in significant gaps understanding why system failure occurs, thus rendering technical solutions inadequate to resolve performance issues since the true root cause of the enterprise system failure is unknown.
对遗留现场系统的变更进行确认和验证的系统工程方法
生命周期系统工程是一个迭代过程,它依赖于操作阶段的反馈循环,以促进持续的系统改进任务,使系统在不断变化的操作环境中保持相关性。在航空航天国防工业中,真实世界的操作数据可以用作反馈,以识别与物理产品无关的系统影响。操作数据既包括物理系统性能指标,也包括所有与产品无关的支持性系统特性的性能,这些特性被称为操作可行性要素。操作可行性元素,如流程、人员、培训、可支持性和可维护性,在整个系统性能中扮演着重要的角色。操作数据可以用来通知系统工程过程的下一次迭代,并且除了更常见的物理产品更新之外,还可以更新策略/过程、模型、模拟和分析。未能利用运行数据作为系统性能的验证可能会导致在理解系统故障发生的原因方面存在重大差距,从而导致技术解决方案不足以解决性能问题,因为企业系统故障的真正根本原因尚不清楚。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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