一种度量软件缺陷数据相似性的方法

2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) Pub Date : 2017-03-01 DOI:10.1109/IAEAC.2017.8054185

Lin Wan, Tengxiang Yang, Haining Liu

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引用次数: 0

摘要

分类方法的本质是相似性度量，将具有相同属性的对象划分为一类进行分析。本文首先研究了数据挖掘中混合属性的相似度度量方法，并引入缺陷数据的属性权重计算方法，以考虑不同属性对相似度度量的影响。它不仅反映了缺陷数据属性之间的相似程度，还反映了属性之间的距离。本文对缺陷数据进行了分析，并对结果进行了测量。实验结果表明，改进后的相似性度量在精度上有一定程度的提高。

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A method for measuring similarity of software defect data

The essence of the classification method is the similarity measure, which divides the objects with the same attributes into one class for analysis. In this paper, we first study the similarity measure method of mixed attributes of data mining, and introduce the attribute weight calculation method of defect data to take into account the influence of different attributes on the similarity measurement. It not only reflects the degree of similarity between the attributes of the defect data, but also reflects the distance between the attributes. In this paper, the defect data are analyzed and the results are measured. The experimental results show that the improved similarity measure has a certain degree of improvement in accuracy.

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来源期刊

2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)

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