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

来源：

PROCEEDINGS OF THE 2009 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND NATURAL COMPUTING, VOL II | 2009年

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

页码：296 / +

页数：2