Technique Integration for Requirements Assessment
Technique Integration for Requirements Assessment
复制标题
需求评估的技术集成
DOI：
10.1109/re.2007.17
复制
发表时间：
2007
期刊：
影响因子：
--
通讯作者：
O. Dekhtyar
中科院分区：
文献类型：
--
作者：
Alex Dekhtyar;J. Hayes;S. Sundaram;E. A. Holbrook;O. Dekhtyar
在确定是否允许对安全性软件系统进行认证并执行对安全或关键任务系统的独立验证和验证（IV＆V）时，必须评估开发人员提供的需求可追溯性矩阵（RTM）。该实践的当前状态是手动执行这项工作，或者借助通用工具（例如文字处理器和电子表格），这些工作是容易出错的和人力强化的。在本文中，我们将以前的工作扩展到应用信息检索方法（IR）方法，用于候选链接生成到RTM准确性评估问题。我们从五种IR方法建立投票委员会，并使用各种投票方案接受或拒绝给定候选人RTM的链接。我们报告了两个实验的结果。在第一个实验中，我们使用了由人类分析师构建的25个候选RTM，用于涉及NASA科学仪器规范的一部分的小型跟踪任务。在第二个实验中，我们将RTM中的故障随机播种，以进行整个规范。提出了实验的结果。
In determining whether to permit a safety-critical software system to be certified and in performing independent verification and validation (IV&V) of safety- or mission-critical systems, the requirements traceability matrix (RTM) delivered by the developer must be assessed for accuracy. The current state of the practice is to perform this work manually, or with the help of general-purpose tools such as word processors and spreadsheets Such work is error-prone and person-power intensive. In this paper, we extend our prior work in application of Information Retrieval (IR) methods for candidate link generation to the problem of RTM accuracy assessment. We build voting committees from five IR methods, and use a variety of voting schemes to accept or reject links from given candidate RTMs. We report on the results of two experiments. In the first experiment, we used 25 candidate RTMs built by human analysts for a small tracing task involving a portion of a NASA scientific instrument specification. In the second experiment, we randomly seeded faults in the RTM for the entire specification. Results of the experiments are presented.