A novel defect prediction method for web pages using k-means++

作者：

Highlights：

• Presents a novel defect clustering method.

• Shed new light to defect prediction methods.

• Depicts the prominence of k-means++ for software testing.

• Unveils the density of error rates of web elements.

摘要

•Presents a novel defect clustering method.•Shed new light to defect prediction methods.•Depicts the prominence of k-means++ for software testing.•Unveils the density of error rates of web elements.

论文关键词：Defect prediction,Fault clustering,Software testing,k-means++

论文评审过程：Available online 25 April 2015, Version of Record 26 May 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.03.013