Software Development Effort Estimation by Means of Genetic Programming

被引：0
|
作者：
Chavoya, Arturo [1 ]
Lopez-Martin, Cuauhtemoc [1 ]
Meda-Campana, M. E. [1 ]
机构：
[1] Univ Guadalajara, Dept Informat Syst, Guadalajara, Jalisco, Mexico
来源：
INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS | 2013年 / 4卷 / 11期
关键词：
genetic programming; feedforward neural network; software effort estimation; statistical regression;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this study, a genetic programming technique was used with the goal of estimating the effort required in the development of individual projects. Results obtained were compared with those generated by a statistical regression and by a neural network that have already been used to estimate the development effort of individual software projects. A sample of 132 projects developed by 40 programmers was used for generating the three models and another sample of 77 projects developed by 24 programmers was used for validating the three models. Results in the accuracy of the model obtained from genetic programming suggest that it could be used to estimate software development effort of individual projects.
引用
收藏
页码：109 / 116
页数：8
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