Mining software defect data to support software testing management

被引：0
|
作者：
Rattikorn Hewett
机构：
[1] Texas Tech University,Department of Computer Science
来源：
Applied Intelligence | 2011年 / 34卷
关键词：
Quality assurance; Software testing management; Defect report; Data mining;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Achieving high quality software would be easier if effective software development practices were known and deployed in appropriate contexts. Because our theoretical knowledge of the underlying principles of software development is far from complete, empirical analysis of past experience in software projects is essential for acquiring useful software practices. As advances in software technology continue to facilitate automated tracking and data collection, more software data become available. Our research aims to develop methods to exploit such data for improving software development practices.
引用
收藏
页码：245 / 257
页数：12
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