Algorithmic optimization method for effort estimation

被引：5
|
作者：
Silhavy, R. [1 ]
Prokopova, Z. [1 ]
Silhavy, P. [1 ]
机构：
[1] Tomas Bata Univ, Fac Appl Informat, TG Masaryka 5555, Zlin 76001, Czech Republic
来源：
PROGRAMMING AND COMPUTER SOFTWARE | 2016年 / 42卷 / 03期
关键词：
Average Relative Error; Effort Estimation; Case Point; Software Development Project; Apply Informatics;
D O I：
10.1134/S0361768816030087
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
This paper presents an improvement of an effort estimation method that can be used to predict the level of effort for software development projects. A new estimation approach based on a two-phase algorithm is used. In the first phase, we apply a calculation based on use case points (UCPs). In the second phase, we add correction values (a (1), a (2)) obtained via least squares regression. This approach employs historical project data to refine the estimate. By applying the least squares regression approach, the algorithm filters out estimation errors caused by human factors and company practice.
引用
收藏
页码：161 / 166
页数：6
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