A Review of the Regression Models Applicable to Software Project Effort Estimation

被引：5
|
作者：
Huynh Thai Hoc [1 ]
Vo Van Hai [1 ]
Ho Le Thi Kim Nhung [1 ]
机构：
[1] Tomas Bata Univ Zlin, Fac Appl Informat, Stranemi 4511, Zlin 76001, Czech Republic
来源：
COMPUTATIONAL STATISTICS AND MATHEMATICAL MODELING METHODS IN INTELLIGENT SYSTEMS, VOL. 2 | 2019年 / 1047卷
关键词：
Software Project Effort Estimation (SPEE); Regression model; Stepwise regression; Regression clustering; AOM; RCMLR; WCO; POINTS;
D O I：
10.1007/978-3-030-31362-3_39
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Software Project Effort Estimation - (further only SPEE), is an essential step in a software project; related to approximating Development Effort before development is completed, and is an important software development activity. Its accuracy has a significant effect on a project ' s success. The major intent of this paper is to review existing Software Project Effort Estimation (further only SPEE), exhaustively by exploring Regression Models for modern SPEEs.
引用
收藏
页码：399 / 407
页数：9
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