DERIVING MODELS FOR SOFTWARE PROJECT EFFORT ESTIMATION BY MEANS OF GENETIC PROGRAMMING

被引：0

作者：

Tsakonas, Athanasios ^{[1
]}

Dounias, Georgios ^{[1
]}

机构：

[1] Univ Aegean, Decis & Management Engn Lab, Dept Financial & Management Engn, Chios 82100, Greece

来源：

KDIR 2009: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND INFORMATION RETRIEVAL | 2009年

关键词：

Software engineering; Effort estimation; Genetic programming; Symbolic regression;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents the application of a computational intelligence methodology in effort estimation for software projects. Namely, we apply a genetic programming model for symbolic regression; aiming to produce mathematical expressions that (1) are highly accurate and (2) can be used for estimating the development effort by revealing relationships between the project's features and the required work. We selected to investigate the effectiveness of this methodology into two software engineering domains. The system was proved able to generate models in the form of handy mathematical expressions that are more accurate than those found in literature.

引用

页码：34 / 42

页数：9

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