Software Defect Prediction Method Based on Rule Knowledge Extraction Model

被引：0
|
作者：
柴海燕 [1 ]
闫然 [1 ]
韩新宇 [1 ]
唐龙利 [1 ]
机构：
[1] China Shipbuilding Software Quality & Reliability Testing Center
来源：
Journal of Donghua University(English Edition) | 2018年 / 35卷 / 05期
关键词：
knowledge base; software testing; defect prediction; association rule;
D O I：
10.19884/j.1672-5220.2018.05.013
中图分类号：
TP311.53 [];
学科分类号：
081202 ; 0835 ;
摘要：
The software defects are managed through the knowledge base,and defect management is upgraded from the data level to the knowledge level. The rule knowledge is mined from bug data based on a rule-based knowledge extraction model,and the appropriate strategy is configured in the strategy layer to predict software defects. The model is extracted by direct association rules and extended association rules,which improve the prediction rate of related defects and the efficiency of software testing.
引用
收藏
页码：422 / 425
页数：4
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