Using Analytical Programming and UCP Method for Effort Estimation

被引：4
|
作者：
Urbanek, Tomas [1 ]
Prokopova, Zdenka [1 ]
Silhavy, Radek [1 ]
Sehnalek, Stanislav [1 ]
机构：
[1] Tomas Bata Univ Zlin, Fac Appl Informat, Stranemi 4511, Zlin, Czech Republic
来源：
MODERN TRENDS AND TECHNIQUES IN COMPUTER SCIENCE (CSOC 2014) | 2014年 / 285卷
关键词：
Analytical programming; Self-organizing migration algorithm; SOMA; Use case points; UCP; Effort estimation; SOFTWARE; PREDICTION;
D O I：
10.1007/978-3-319-06740-7_49
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This article is aimed to using the analytical programming and the Use Case Points method to estimate time effort in software engineering. The calculation of Use Case Points method is strictly algorithmically defined, and the calculation of this method is simple and fast. Despite a lot of research on this field, there are many attempts to calibrating the weights of Use Case Points method. In this paper is described idea that equation used in Use Case Points method could be less accurate in estimation than other equations. The aim of this research is to create new method, that will be able to create new equations for Use Case Points method. Analytical programming with self-organizing migration algorithm is used for this task. The experimental results shows that this method improving accuracy of effort estimation by 25-40 %.
引用
收藏
页码：571 / 581
页数：11
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