Model of noisy software engineering data (Status report)

被引：2
|
作者：
Tesoriero, R [1 ]
Zelkowitz, M [1 ]
机构：
[1] Univ Maryland, Dept Comp Sci, College Pk, MD 20742 USA
来源：
PROCEEDINGS OF THE 1998 INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING | 1998年
关键词：
curve fitting; exponential moving average; financial data;
D O I：
10.1109/ICSE.1998.671606
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Software development data is highly variable, which of tell results in underlying trends being hidden. In or der to address this problem, a method of data analysis, adapted from the financial community, is presented that permits the shape of the curve of some activity to be reduced to a few line segments, called the characteristic curve. This process is used on sample data from the NASA/GSFC Software Engineering laboratory and has shown to be a reasonable method to understand the underlying process being plotted.
引用
收藏
页码：461 / 464
页数：4
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