.png){kind=icon}
返回
Building effective defect-prediction models in practice
.png){kind=icon}
PRE
AI
DOI：10.1109/MS.2005.149.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Defective software modules cause software failures, increase development and maintenance costs, and decrease customer satisfaction. Effective defect prediction models can help developers focus quality assurance activities on defect-prone modules and thus improve software quality by using resources more efficiently. These models often use static measures obtained from source code-mainly size, coupling, cohesion, inheritance, and complexity measures-which have been
Keyword:
COMPLEXITY
期刊
IF:
3
论文数:
3.2K
被引数:
3.6K
机构
暂无机构信息
引用论文
.png){kind=icon}
分享收藏