Generating Requirements for Futuristic Hetrogenous Unmanned Systems
Generating Requirements for Futuristic Hetrogenous Unmanned Systems
复制标题
生成未来异构无人系统的需求
DOI：
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发表时间：
2006
期刊：
影响因子：
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通讯作者：
C. Furusho
中科院分区：
文献类型：
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作者：
C. Nehme;Stacey D. Scott;M. L. Cummings;C. Furusho
认知任务分析（CTA）是一种有效的分析技术，用于推导许多任务域的设计要求。然而，传统的CTA方法对未来系统的适用性有限，因为CTA方法通常需要访问主题专家，文档和以前的实现，从中提取假设和专业知识。在本文中，我们介绍了一个混合CTA框架，允许生成的信息和显示要求的未来系统，目前还没有实现。这种分析技术包括四个步骤，包括：1）生成场景任务概述，2）生成事件流程图，3）生成态势感知需求，以及4）为关键决策创建决策阶梯。我们证明了这个过程的有效性，通过一个案例研究，在该案例中产生的功能和接口要求的监督控制多个，异构无人驾驶车辆。
A cognitive task analysis (CTA) is an effective analysis technique for deriving design requirements for many task domains. However, traditional CTA approaches have limited applicability to futuristic systems because CTA approaches generally require access to subject matter experts, documentation, and previous implementations from which to draw assumptions and expertise. In this paper, we introduce a hybrid CTA framework that allows the generation of information and display requirements for futuristic systems for which no current implementations exist. This analysis technique involves a four-step process including: 1) generating a scenario task overview, 2) generating an event flow diagram, 3) generating situation awareness requirements, and 4) creating decision ladders for critical decisions. We demonstrate the effectiveness of this process through a case study in which functional and interface requirements are generated for the supervisory control of multiple, heterogeneous unmanned vehicles.