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IR-based Traceability Recovery as a Plugin - An Industrial Case Study

机译:基于IR的可追溯性恢复为插件 - 工业案例研究

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Large-scale software development is a complex undertaking and generates an ever-increasing amount of information. To be able to work efficiently under such circumstances, navigation in all available data needs support. Maintaining traceability links between software artefacts is one approach to structure the information space and support this challenge. Several researchers have proposed traceability recovery by applying IR methods, based on textual similarities between artefacts. Early studies have shown promising results, but no large-scale in vivo evaluations have been made. Currently, there is a trend among our industrial partners to collect artefacts in a specific new software engineering tool. Our goal is to develop an IR-based traceability recovery plugin to this tool. From this position, in the environment of possible future users, the usefulness of supported findability in a software engineering context could be explored with an industrial validity.
机译:大型软件开发是一个复杂的事业,产生了不断增加的信息量。 为了能够在这种情况下有效地工作,在所有可用数据中导航需要支持。 维护软件艺术品之间的可追溯性链接是一种构建信息空间并支持这一挑战的一种方法。 基于人工制品之间的文本相似性,若干研究人员通过应用红外方法提出了可追溯性恢复。 早期研究表明了有希望的结果,但没有进行大规模的体内评估。 目前,我们的工业伙伴之间存在趋势,可以在特定的新软件工程工具中收集人工制品。 我们的目标是为此工具开发基于IR的可追溯性恢复插件。 从这个位置,在可能的未来用户的环境中,可以通过工业有效性来探索软件工程背景中支持可辨能力的有用性。

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