Evolutionary induced decision trees for dangerous software modules prediction

被引：17

作者：

Podgorelec, V ^{[1
]}

Kokol, P ^{[1
]}

机构：

[1] Univ Maribor, FERI, Lab Syst Design, SI-2000 Maribor, Slovenia

来源：

INFORMATION PROCESSING LETTERS | 2002年 / 82卷 / 01期

关键词：

software engineering; decision making; decision trees; evolutionary algorithms; software fault prediction;

D O I：

10.1016/S0020-0190(01)00284-8

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We study the possibility of constructing decision trees with evolutionary algorithms in order to increase their predictive accuracy. We present a self-adapting evolutionary algorithm for the induction of decision trees and describe the principle of decision making based on multiple evolutionary induced decision trees-decision forest. The developed model is used as a fault predictive approach to foresee dangerous software modules, which identification can largely enhance the reliability of software. (C) 2001 Elsevier Science B.V. All rights reserved.

引用

页码：31 / 38

页数：8

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