Suitability of genetic programming for software reliability growth modeling

被引：5

作者：

Afzal, Wasif ^{[1
]}

Torkar, Richard ^{[1
]}

机构：

[1] Blekinge Inst Technol, S-37225 Ronneby, Sweden

来源：

CSA 2008: INTERNATIONAL SYMPOSIUM ON COMPUTER SCIENCE AND ITS APPLICATIONS, PROCEEDINGS | 2008年

关键词：

D O I：

10.1109/CSA.2008.13

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Genetic programming (GP) has been, found to he effective in finding a model that, its the given data points without making arty assumptions about the model structure. This makes GP a reasonable choice for softy arc reliability growth modeling. This halter discusses the suitability of using GP, for software reliability growth modeling and highlights the mechanisms that enable GP to progressively search for fitter solutions.

引用

页码：114 / 117

页数：4

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