Software project effort estimation using genetic programming

被引：0
|
作者：
Shan, Y [1 ]
McKay, RI [1 ]
Lokan, CJ [1 ]
Essam, DL [1 ]
机构：
[1] Univ New S Wales, UC, Sch Comp Sci, ADFA, Canberra, ACT 2600, Australia
来源：
2002 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS AND WEST SINO EXPOSITION PROCEEDINGS, VOLS 1-4 | 2002年
关键词：
genetic programming; grammar-guided genetic programming; software engineering; software cost estimation;
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：
Knowing the estimated cost of a software project early in the development cycle is a valuable asset for management. In this paper, an evolutionary computation method, Grammar Guided Genetic Programming (GGGP), is used to fit models, with the aim of improving the prediction of software development costs. Valuable results are obtained, significantly better than those obtained by simple linear regression. In this research, GGGP, because of its flexibility and the ability of incorporating background knowledge, also shows great potential in being applied in other software engineering modeling problems.
引用
收藏
页码：1108 / 1112
页数：5
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