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

被引：36
|
作者：
University of Southern California [1 ]
不详 [2 ]
机构：
来源：
IEEE Software | 2006年 / 5卷 / 88-95期
基金：
美国国家航空航天局;
关键词：
Mathematical models - Parameter estimation - Quality control - Risk analysis - Risk assessment - Value engineering;
D O I：
10.1109/MS.2006.127
中图分类号：
学科分类号：
摘要：
Quantitative risk analysis based on the value-based software engineering (VBSE) of Cocomo II cost-estimation model and the Coquolmo quality-estimation model helps to determine when to stop testing software and release the product for use. Risk analysis helps address the problem of testing by balancing the risk exposure of doing to little with the risk exposure of doing to much. The focus of the Cocomo II constructive cost model is a mathematical relationship involving 24 variables used to estimate the effort in person-months required to develop a software product. The parameters of this model include the product's equivalent size in thousands of lines of code (KLOC) and personnel characteristics.
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