开发JPL统一验证与确认活动标准
Developing a Unified Verification and Validation Activity Standard at JPL
浏览论文内容
中文总结 AI 辅助
针对JPL验证与确认实践碎片化问题，提出基于关系型架构和SysML模型的统一V&V活动模式，并通过Jama平台实现受控定制，以平衡严谨性与敏捷性。
中文摘要 AI 辅助
在NASA喷气推进实验室（JPL），验证与确认（V&V）实践在过去十年中出现了分化，导致碎片化，增加了开销，降低了跨项目效率，并阻碍了机构知识转移。我们通过以人为本的设计研讨会（涉及29名来自多种任务类型和学科的从业者）提出了一个统一的V&V活动模式。该模式基于关系型架构，允许分离方法（测试、分析、检查、演示和设计评审），同时保持共同的属性集。该模式被形式化为平台无关的SysML模型，定义了需求、V&V活动、场所和证据之间的双向关系。在JPL的Jama平台中的实现展示了通过模板和模块化项目类型进行的受控定制，在严谨性与敏捷性之间取得平衡，同时支持自动化、模式复用和数字线程集成。
英文摘要
Verification and validation practices (V&V) at NASA's Jet Propulsion Laboratory (JPL) have diverged over the past decade, creating fragmentation that increases overhead, reduces cross-project efficiencies, and inhibits institutional knowledge transfer. We present a unified V&V activity schema developed through human-centered design workshops involving 29 practitioners across multiple mission types and disciplines. The schema builds on a relationship-based architecture that allows for separating methods (Test, Analysis, Inspection, Demonstration, and Review of Design) while maintaining a common attribute set. Formalized as a platform-agnostic SysML model, the schema defines bidirectional relationships between requirements, V&V activities, venues, and evidence. Implementation in JPL's Jama platform demonstrates controlled customization through templates and modular item types, balancing rigor with agility while enabling automations, pattern reuse, and digital thread integration.
发表机构
- Jet Propulsion Laboratory, California Institute of Technology（加州理工学院）
机构由 AI 辅助整理，请以论文原文为准。
