首页 | 本学科首页   官方微博 | 高级检索  
     

基于缺陷分层与PSO算法的软件缺陷预测模型
引用本文:郝世锦,崔冬华.基于缺陷分层与PSO算法的软件缺陷预测模型[J].软件,2012(2):51-52,55.
作者姓名:郝世锦  崔冬华
作者单位:太原理工大学计算机学院
摘    要:根据软件开发分层的思想,提出了基于软件缺陷分层的测试构架。在缺陷分层的测试架构下可以知道测试类之间的的关系和属性,容易发现关联缺陷。本文是在软件缺陷分层测试架构下结合粒子群优化(PSO)算法建立软件缺陷预测模型,并通过模拟实验验证预测模型的性能。结果显示该模型能有效提高预测缺陷效率和缺陷发生位置。

关 键 词:软件测试  缺陷预测  粒子群优化  缺陷分层

Software Defect Prediction Model Based on Defect Layered and Particle Swarm Optimization
HAO Shijin,CUI Donghua.Software Defect Prediction Model Based on Defect Layered and Particle Swarm Optimization[J].Software,2012(2):51-52,55.
Authors:HAO Shijin  CUI Donghua
Affiliation:(Taiyuan University of Technology,Taiyuan 030024,China)
Abstract:According to the software development of hierarchical thinking,this paper puts forward testing framework based on defect tiered.In this case,we can know relationship between classes,easy to find related defects.This paper establishes a software defect prediction model combines oftware defects of stratification testing framework and particle swarm optimization(PSO)algorithm,through simulation and experimental verification of the performance of prediction models.The result shows that the model can effectively improve the defect prediction efficiency and defect position.
Keywords:Software defect  Software testing  particle swarm optimization
本文献已被 CNKI 等数据库收录!
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