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Using Interaction Data for Continuous Creation of Trace Links Between Source Code and Requirements in Issue Tracking Systems

机译:使用交互数据进行源代码与问题跟踪系统的源代码和要求之间的跟踪链接

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Context and Motivation: Information retrieval (IR) trace link creation approaches have insufficient precision and do not perform well on unstructured data which is typical in issue tracker systems (ITS). Question/problem: We are interested in understanding how interaction tracking on artifacts can help to improve precision and recall of trace links between requirements specified unstructured in an ITS and source code. Principal ideas/results: We performed a study with open source project data in which artifact interactions while working on requirements specified in an ITS have been recorded. Contribution: The results of our study show that precision of interaction-based links is 100% and recall is 93% for the first and 80% for the second evaluated data set relative to IR-created links. Along with the study we developed an approach based on standard tools to automatically create trace links using interactions which also takes into account source code structure. The approach and the study show that trace links creation in practice can be supported with little extra effort for the developers.
机译:背景和动机:信息检索(IR)跟踪链接创建方法的精度不足,并且在问题跟踪器系统(其)中典型的非结构化数据不得良好。问题/问题:我们有兴趣了解交互跟踪对工件的互动跟踪如何有助于提高其在其源代码中非结构规定的要求之间的追踪链路的精度和回忆。主要思想/结果:我们执行了一个研究,其中开源项目数据,其中在录制了在其上指定的要求时的工件交互。贡献:我们的研究结果表明,基于交互的链路的精确度为100%,第二个评估数据集相对于IR创建的链接设置的第一个和80%的召回是93%。除此之外,我们开发了一种基于标准工具的方法,可以使用还考虑到源代码结构的交互自动创建跟踪链接。该方法和研究表明,可以支持在实践中创建的痕迹链接,为开发人员提供额外的努力。

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