An Approach to Measuring Software Development Risk Based on Information Entropy

被引:3
|
作者
Jiang Rong [1 ,2 ]
Liao Hongzhi [1 ]
Yu Jiankun [2 ]
Sun Yafei [3 ]
Li Junlin [1 ]
Chen Lihua [2 ]
机构
[1] Yunnan Univ, Sch Software, Kunming 650091, Peoples R China
[2] Yunnan Univ Finance & Econ, Sch Informat, Kunming 650091, Peoples R China
[3] Sichuan Normal Univ, Sch Comp Sci, Chengdu, Peoples R China
关键词
Risk Measure; Information Entropy; Software Development; Software Engineering;
D O I
10.1109/CINC.2009.153
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Software development risk always influence the success of software project,even determine a enterprise surviving or perishment.Consequently,there are some significant meaning for software company and software engineering field to measure effectively the risk. Whereas, the measurement is very difficult because software is a sort of logic product. There are many methods to measure the risk at the present time,but lack of quantificational measurement methods,and these measurements are all localization and they cannot consider well the risk factors and the effect.In this paper, we bring forward a quantificational approach to measuring the software development risk based on information entropy.It involves both the probabilities of the risk factors and the bloss,it is a effective synthesis method to measuring software development risk in practice.
引用
收藏
页码:296 / +
页数:2
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