首页 | 本学科首页   官方微博 | 高级检索  
     

一种在线测试集约减方法
引用本文:张晨光,徐 珞,李 宁. 一种在线测试集约减方法[J]. 计算机与现代化, 2018, 0(12): 40. DOI: 10.3969/j.issn.1006-2475.2018.12.008
作者姓名:张晨光  徐 珞  李 宁
摘    要:针对测试集约减问题,提出一种在线测试用例集约减方法。将测试集约减嵌入测试生成流程内,作为测试生成的重要步骤,为测试生成提供筛选测试序列和测试约束的作用;同时测试生成过程恰好为测试集约减提供了测试序列与测试目标之间的满足关系,避免因测试需求之间复杂满足关系产生的冗余。与现有的测试生成方法进行比较,结果表明本文方法可以有效地提高测试集约减的效率和效果。

关 键 词:测试集约减  软件测试   测试冗余   算法  
收稿时间:2019-01-04

An Online Optimizing Approach for Test Suite
ZHANG Chen-guang,XU Luo,LI Ning. An Online Optimizing Approach for Test Suite[J]. Computer and Modernization, 2018, 0(12): 40. DOI: 10.3969/j.issn.1006-2475.2018.12.008
Authors:ZHANG Chen-guang  XU Luo  LI Ning
Abstract:Aiming at the problem of optimizing test suite, an online optimized test suite method is proposed. Optimizing test suite as an important test generation step is embedded in the test generation flow to provide screening test sequence and test constraints for the test generation. Meanwhile, the generation process provides the satisfaction relationship between the test sequence and the test target for the reduction of the test set, avoids the redundancy due to the complex satisfaction of the test requirements. Compared with the existing test generation method, this method proposed in this paper can effectively improve the efficiency and effectiveness in optimizing test suite.
Keywords:optimizing test suite  software testing  test redundancy  algorithm  
点击此处可从《计算机与现代化》浏览原始摘要信息
点击此处可从《计算机与现代化》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号