Software measurement: Uncertainty and causal modeling

被引：93
|
作者：
Fenton, N
Krause, P
Neil, M
机构：
[1] Univ London Queen Mary Coll, Dept Comp Sci, London E1 4NS, England
[2] Philips Res Labs, Redhill RH1 5HA, Surrey, England
来源：
IEEE SOFTWARE | 2002年 / 19卷 / 04期
关键词：
D O I：
10.1109/MS.2002.1020298
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Software measurement can play an important risk management role during product development. For example, metrics incorporated into predictive models can give advance warning of potential risks. The authors show how to use Bayesian networks, a graphical modeling technique, to predict software defects and perform "what if" scenarios.
引用
收藏
页码：116 / +
页数：8
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