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Developing a traceable domain reference architecture to support clinical trials at the National Cancer Institute. An experience report

机译：开发可追溯的领域参考架构，以支持美国国家癌症研究所的临床试验。经验报告

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摘要

Presents the requirements gathering and software architecture derivation approach developed by the University of Texas at Austin and leveraged by the National Cancer Institute (NCI) in their efforts to automate the creation, management and evaluation of clinical trials. NCI must face the complexity of managing clinical trials and of coordinating large numbers and varied types of stakeholders. SEPA (Systems Engineering Process Activities), from the University of Texas at Austin, is well-suited to address domain modeling and software development at NCI due to a strong emphasis on explicit traceability from a derived architecture to individual knowledge acquisition sessions, as well as facilitated resolution among conflicting stakeholder contributions. Specifically, this paper focuses on the SEPA Domain Reference Architecture (DRA), a software architecture designed to capture domain requirements (i.e. domain data, functionality and timing).
机译：介绍了德克萨斯大学奥斯汀分校开发的，并由美国国家癌症研究所（NCI）加以利用的需求收集和软件体系结构推导方法，他们致力于自动创建，管理和评估临床试验。 NCI必须面对管理临床试验以及协调大量不同类型的利益相关者的复杂性。得克萨斯大学奥斯汀分校的SEPA（系统工程过程活动）非常适合解决NCI的领域建模和软件开发问题，因为它非常强调从派生体系结构到各个知识获取课程以及促进解决利益相关者的冲突捐款。具体来说，本文重点介绍SEPA域参考体系结构（DRA），这是一种旨在捕获域需求（即域数据，功能和时间安排）的软件体系结构。

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