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一种软件工作量估算的不确定性度量方法
Alternative Titleuncertainty measurement method of software effort estimation
解浪; 杨叶
2012
SourceComputer Engineering
ISSN1000-3428
Volume38Issue:3Pages:39-42
English Abstract以COCOMO81模型为基础,结合模型输出方差以及模型与数据自身方差的组合,分别度量模型本身估算值与实际值差距的不确定性,并在此基础上给出预测区 间。提出以命中率(SR)与平均相对宽度(MRV)相结合的评测标准。通过采用重采样获得N对训练和测试集合,计算不同置信度下区间SR和MRV的均值, 运用SR和MRV的散点图比较不同度量方法获得区间。实验结果表明,该方法能以相同的命中率获得更窄的区间。
AbstractThis paper proposes a method to assess the uncertainty of using COCOMO81 model.It uses the variance of models output to assess the uncertainty of models output.And uses both the datas variance and the models output to assess the uncertainty of the distance between estimated effort and its real value.Based on the uncertainty,it proposes the prediction interval.It proposes the Mean Relative Variance(MRV) and shooting ration as the measurement to assess the uncertainty.In the experiment,re-Sampling method is employed to get N pairs of train set and test set.The average value of SR and MRV for different confidence level is calculated.After that,the scatter plot of SR and MRV is used to compare the different intervals that generated by different methods of assessing uncertainty.Experimental result shows that the measurement for uncertainty can generate narrower interval at the context of the same shooting ratio.
KeywordUncertainty Software Effort Estimation Re-sampling Prediction Interval Cocomo Model Variance
Department解浪, 中国科学院研究生院, 北京 100190, 中国. 杨叶, 中国科学院软件研究所互联网软件技术实验室, 北京 100190, 中国.
SubjectComputer Science
Language中文
Content Type期刊论文
URIhttp://ir.iscas.ac.cn/handle/311060/14613
Collection互联网软件技术实验室
Recommended Citation
GB/T 7714
解浪,杨叶. 一种软件工作量估算的不确定性度量方法[J]. Computer Engineering,2012,38(3):39-42.
APA 解浪,&杨叶.(2012).一种软件工作量估算的不确定性度量方法.Computer Engineering,38(3),39-42.
MLA 解浪,et al."一种软件工作量估算的不确定性度量方法".Computer Engineering 38.3(2012):39-42.
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