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On the role of the nouns in IR-based traceability recovery

机译:名词在基于IR的可追溯性恢复中的作用

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The intensive human effort needed to manually manage traceability information has increased the interest in utilising semi-automated traceability recovery techniques. This paper presents a simple way to improve the accuracy of traceability recovery methods based on information retrieval techniques. The proposed method acts on the artefact indexing considering only the nouns contained in the artefact content to define the semantics of an artefact. The rationale behind such a choice is that the language used in software documents can be classified as a sectorial language, where the terms that provide more indication on the semantics of a document are the nouns. The results of a reported case study demonstrate that the proposed artefact indexing significantly improves the accuracy of traceability recovery methods based on the probabilistic or vector space based IR models.
机译:手动管理可追溯性信息所需的大量人力已经增加了对利用半自动化可追溯性恢复技术的兴趣。本文提出了一种简单的方法来提高基于信息检索技术的可追溯性恢复方法的准确性。所提出的方法仅考虑人工制品内容中包含的名词来定义人工制品的语义,从而对人工制品索引进行操作。这种选择的基本原理是,可以将软件文档中使用的语言归类为一种部门语言,其中在文档语义上提供更多指示的术语是名词。报道的案例研究的结果表明,基于概率或基于矢量空间的IR模型,拟议的文物索引技术显着提高了可追溯性恢复方法的准确性。

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