Visual software defect prediction method based on improved recurrent criss-cross residual network

被引:0
|
作者
Chen, Liqiong [1 ]
Yunjie, Lei [1 ]
Huaiying, Sun [1 ]
机构
[1] Shanghai Institute of Technology, Shanghai, China
来源
International Journal of Web Information Systems | / 20卷 / 06期
关键词
Engineering Village;
D O I
暂无
中图分类号
学科分类号
摘要
Activation functions - Attention mechanisms - Deep learning - Residual network - Sample quality - Sample sizes - Software defect prediction - Training sample - Visual software defect prediction - Weighted activation function
引用
收藏
页码:621 / 638
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