引用本文
  •    [点击复制]
  •    [点击复制]
【打印本页】 【在线阅读全文】【下载PDF全文】 查看/发表评论下载PDF阅读器关闭

←前一篇|后一篇→

过刊浏览    高级检索

本文已被:浏览 99次   下载 101 本文二维码信息
码上扫一扫!
基于数据挖掘和决策树的测试用例重用技术研究
刘伟,安鹏伟,王嬴超
0
(北京京航计算通讯研究所, 北京 100074;北京市涉密信息载体安全管理工程技术研究中心, 北京 100074)
摘要:
通过应用数据挖掘和决策树算法,将测试专家分类重用测试用例的思想固化,并可以根据新采集的可重用的测试用例,不断扩充分类规则,使测试用例重用库具有不断自扩充和自完善的能力。通过使用测试用例重用库中可重用的测试用例和测试思想,可以提高测试人员对被测软件需求规格说明中功能和性能等指标的测试全面性和有效性,提高工作效率,减少工作量,并提高测试质量。
关键词:  数据挖掘  决策树  分类规则  测试用例重用库
DOI:
基金项目:
Research on Test Case Reuse Technology Based on Data Mining and Decision Tree
LIU Wei,AN Peng-wei,WANG Ying-chao
(Beijing Research Institute of the Beijing Flight Communications Computing, Beijing 100074, China;The Classified Information Carrier Safety Management Engineering Technology Research Center of Beijing, Beijing 100074, China)
Abstract:
This paper applies the data mining and decision tree algorithm to immobilize the reusing test cases idea of test experts, and can continuously expand the classification rules according to the newly acquired reusable test cases, so that the test case reuse library has ability of self-improvement and self-expansion. By using reusable test cases and test ideas in the reusable library, it can improve the test comprehensiveness and effectiveness of the tester for the function, performance and other indicators in the specification of the software under test, improve test efficiency, reduce workload and improve test quality.
Key words:  Data mining  Decision tree  Classification rules  Test case reusable library

用微信扫一扫

用微信扫一扫