摘要
软件可靠性验证阶段的可靠性增长模型的建立与选择是软件可靠性工程人员长期关注的焦点.软件可靠性模型混合是解决模型适应性差、精度低的可行性方法.利用模型聚类的COBWEB算法处理失效数据,对基本分模型进行动态权重混合,以提高软件可靠性评估与预测的精度和稳健性.并利用软件工具对该方法进行模型评价.
Software reliability validation phase of reliability growth model choice is a long-term focus of attention software reliability engineering personnel.The mix of software reliability models solve the poor model adaptability,low precision feasibility.COBWEB algorithm processing failure data,using model clustering the mixed for basic sub-model dynamic weight,it may to improve the accuracy and soundness of prediction of software reliability.And using software tools give model evaluation for the methed.
出处
《兰州文理学院学报（自然科学版）》
2013年第5期89-92,共4页
Journal of Lanzhou University of Arts and Science(Natural Sciences)
