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基于神经网络的回归测试用例优化研究

黄伟 杨金凤

现代电子技术Issue(19):114-116,3.
现代电子技术Issue(19):114-116,3.

基于神经网络的回归测试用例优化研究

Optimized research of regression testing cases based on neural network

黄伟 1杨金凤2

作者信息

  • 1. 国网安徽省电力公司检修公司,安徽 合肥 230061
  • 2. 安徽南瑞继远软件有限公司,安徽 合肥 230094
  • 折叠

摘要

Abstract

Regression testing means after modifying the source code,re⁃testing to confirm whether the discovered defect is repaired,and whether detection and modification have brought in a new bug or caused the errors in other codes which possesses a large proportion of the workload during testing procedure. The fundamental principle of neural network is analyzed,and the thought of BP algorithm is introduced into the case set selection of regression testing. The algorithm to select regression testing case package is presented. The functions which may be influenced by code modification are screened out by samples training, and the higher priority use case can be screened out. A set of regression testing strategy with high efficient and easy operation was summed up through the accumulation of testing practice.

关键词

回归测试/测试用例/神经网络/BP网络

Key words

regression testing/testing case/neural network/BP network

分类

信息技术与安全科学

引用本文复制引用

黄伟,杨金凤..基于神经网络的回归测试用例优化研究[J].现代电子技术,2015,(19):114-116,3.

基金项目

国家电网公司科技项目资助 ()

现代电子技术

OA北大核心CSTPCD

1004-373X

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