Analyzing the Effect of Variables in the Software Development Effort Estimation

被引：3

作者：

Velarde, H. ^{[1
]}

Santiesteban, C. ^{[2
]}

Garcia, A. ^{[3
]}

Casillas, J. ^{[4
]}

机构：

[1] Univ Catolica Santa Maria, Fac Ciencias & Ingn Fis & Formales, Arequipa, Peru

[2] Univ Ciego Avila, Ctr Bioplantas, Ciego De Avila, Cuba

[3] DESOFT, Div Terr Villa Clara, Havana, Cuba

[4] Univ Granada, Dept Ciencias Comp & Inteligencia Artificial, Granada, Spain

来源：

IEEE LATIN AMERICA TRANSACTIONS | 2016年 / 14卷 / 08期

关键词：

Datamining; Effort estimation; Decision Trees; Regression Trees; Software metrics; Software projects; Variables selection;

D O I：

10.1109/TLA.2016.7786366

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Due to the variability of variables, the estimation of effort in software development is considered as a very difficult task. Maybe due to small databases, uncertain and very subjective information. For these reason, in this paper, we introduce a study of the effect of variables in the software development effort estimation process. The estimation employing lines of codes, function points and engineering task, were taken as reference. With the use of datamining and machine learning technics, were demonstrated that the effort estimation using engineering task is more accurate. And, by the other hand, was established the influence of each variable, in the software development effort estimation process.

引用

页码：3797 / 3803

页数：7

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