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机构地区:[1]北京邮电大学自动化学院教育部信息网络工程研究中心,北京100876
出 处:《软件》2017年第12期42-48,共7页Software
基 金:中央高校基本科研业务费专项资金资助(编号:2017RC27);国家自然科学基金项目(编号:61702044);课题名称:面向测试用例自动生成的回溯机制研究;基于自适应约束构建与复杂程序结构约束求解的软件缺陷自动确认研究
摘 要:近年来,随着互联网的迅猛发展,国内外消费者习惯发生了翻天覆地的改变,电子商务在消费市场上扮演着越来越重要的角色。电子商务平台作为电子商务的基础设施,支撑电子商务业务中信息流、货物流、资金流的正常流转,其可靠性高低对于电子商务有重要意义。本文,首先利用简化的可用性测试对Markov链使用模型进行优化,然后利用优化后的Markov链对电子商务平台实例进行建模示范。本文中提出的优化的Markov链使用模型,融合时下互联网行业的可用性测试,通过可用性测试获得符合实际使用场景的转移概率,建立的可靠性测试使用模型更有现实参考价值。该模型指导的可靠性测试能保证电子商务平台运行稳定,电子商务业务顺利进行,是电子商务发展的重要前提。In recent years, with the rapid development of the Internet, consumer habits at home and abroad have undergone tremendous changes. E-commerce has played an increasingly important role in the consumer market. As the infrastructure of e-commerce, e-commerce platform supports the normal flow of information flow, goods flow and capital flow in e-commerce business. Its reliability is of great significance to e-commerce. In this paper, firstly optimize the Markov chain using a simplified usability test model, and then use the optimized Markov chain to model e-commerce platform examples. This paper proposes an optimized Markov chain usage model, which inte-grates usability tests of the Internet industry at present, and obtains the transition probabilities that meet the actual usage scenarios through usability tests. The established reliability test usage model is more realistic reference value. The reliability testing guided by this model can ensure the stable operation of e-commerce platform and the smooth progress of e-commerce business, which is an important prerequisite for the development of e-commerce.
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