How much software quality investment is enough: A value-based approach

被引：0
|
作者：
Huang, LiGuo
Boehm, Barry
机构：
[1] Univ So Calif, Ctr Software Engn, Los Angeles, CA 90089 USA
[2] Univ So Calif, Dept Comp Sci, Los Angeles, CA 90089 USA
来源：
IEEE SOFTWARE | 2006年 / 23卷 / 05期
关键词：
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
A classic problem facing many software projects is determining when to stop testing and release the product for use. Risk analysis helps address this issue by balancing the risk exposures of doing too little or too much. A quantitative analysis approach based on the COCOMO II cost-estimation model and the COQUALMO quality-estimation model helps answer the question, "How much software quality investment is enough?" The authors use the models and some representative empirical data to assess the relative payoff of value-based testing as compared to value-neutral testing. They include examples of the approach's use under differing value profiles.
引用
收藏
页码：88 / +
页数：9
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