Moreover , we also propose an algorithm for generating use model from real - time software uml model . finally , this dissertation studies critical techniques in the software statistical test based on use model and analyzed present statistical test tools 最后,本课题研究了基于使用模型的软件统计测试的关键技术,分析当前的软件统计测试工具,实现了一个与rationalrose相集成的统计测试辅助工具
Aimed to the interactive characteristics of most large complex software systems , this research is devoted to the study of software test method based on uml model . also a statistical test supporting tool is implemented which integrated with rational rose 本文旨在针对一般大型、复杂软件所共有的交互性特征,重点研究基于uml模型的软件测试方法,并实现了一个与uml建模工具rationalrose相集成的软件统计测试辅助工具。
R is a language and environment for statistical computing and graphics , similar to the award - winning s system , that provides such statistical and graphical techniques as linear and nonlinear modeling , statistical tests , time series analysis , classification , clustering , and such R是用于统计计算和图形的语言和环境,类似于获奖的s system , r提供了诸如线性和非线性建模、统计测试、时间序列分析、分类、群集之类的统计和图形技术。
Based on the introduction and the research of the characteristics of the statistical testing , the characteristics of the web application and the present testing methods in web environment , the paper issues the idea of " usage - model based on the use case and log " , in this way we can generate the precise and succinct usage - model and guide the process of web statistical testing . this method can control the complexity level of the testing efficiently and improve the efficiency of the testing 本文在介绍和研究统计测试的特点、 web应用的特点和目前web环境下的测试方法的基础上,提出了基于用例和日志生成使用模型的思想,以精确、简洁的使用模型指导web统计测试的进行,该方法能有效控制测试的复杂程度,提高测试的效率。
Recently , kumar and gadagkar ( 2001 ) proposed a simple measure , disparity index ( id ) , to quantify the difference in observed substitution patterns between molecular sequences , and use it to develop a statistical test as the probability distribution of this statistic ( id ) is unknown , monte carlo approach must be used to test the null assumption of homogeneity 近来, kumarandgadgh ( 200 )提出了一个简单的测量一差异指针( isparityindex , id )来量化这种在分子序列间观察到的替代模型的不同,并用它发展了一个统计检测。由于这个统计量峋)的概率分布是未知的,故必须利用montecarlo方法来检测这无效同质性假设。