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A FRAMEWORK FOR COMPARING REQUIREMENTS TRACING EXPERIMENTS

机译:比较需求跟踪实验的框架

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摘要

The building of traceability matrices by those other than the original developers is an arduous, error prone, prolonged, and labor intensive task. Thus, after-the-fact requirements tracing is a process where the right kind of automation can definitely assist an analyst. Recently, a number of researchers have studied the application of various methods, often based on information retrieval after-the-fact tracing. The studies are diverse enough to warrant a means for comparing them easily as well as for determining areas that require further investigation. To that end, we present here an experimental framework for evaluating requirements tracing and traceability studies. Common methods, metrics and measures are described. Recent experimental requirements tracing journal and conference papers are catalogued using the framework. We compare these studies and identify areas for future research. Finally, we provide suggestions on how the field of tracing and traceability research may move to a more mature level.
机译:由原始开发人员以外的人员创建可追溯性矩阵是一项艰巨,容易出错,耗时长且劳动强度大的任务。因此,事后需求跟踪是一个过程,在该过程中,正确的自动化类型绝对可以帮助分析师。最近,许多研究人员研究了各种方法的应用,这些方法通常基于事后跟踪的信息检索。这些研究的多样性足以保证可以轻松地进行比较以及确定需要进一步研究的领域。为此,我们在这里提出一个用于评估需求跟踪和可追溯性研究的实验框架。描述了常见的方法,指标和措施。使用该框架对最近的实验需求追踪期刊和会议论文进行了分类。我们比较这些研究并确定未来的研究领域。最后,我们提供有关跟踪和可追溯性研究领域如何发展到更成熟水平的建议。

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