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    • 8. 发明授权
    • Adaptive framework automatically prioritizing software test cases
    • 自适应框架自动优先考虑软件测试用例
    • US09489289B2
    • 2016-11-08
    • US14565220
    • 2014-12-09
    • Ziheng HuJing LiXin LiChen ZhouLonghui Chang
    • Ziheng HuJing LiXin LiChen ZhouLonghui Chang
    • G06F11/00G06F11/36
    • G06F11/3684G06F11/3688
    • An automated, self-adaptive framework prioritizes software testing in a consistent and effective manner. A metric evaluates past test execution information for assigning regression testing priority. The metric may be calculated with reference to one or more of the following factors taken in combination: requirement, coverage, history, and cost. The requirement factor considers customer-assigned priority of testing the code, complexity of implementing the code, and proneness of the code to faults. The coverage factor considers code coverage, feature coverage, and common usage rate. The history factor considers previous bug found rate, case stable rate, and priority to calculate. The cost factor considers test case execution time, and step length. A value of each factor for one test case is measured according to that test case and is not related to other test cases. The calculation result representing the metric for each test case determines a priority of the test case.
    • 自动化的自适应框架以一致和有效的方式优先考虑软件测试。 指标评估过去的测试执行信息,以分配回归测试优先级。 可以参考以下组合中的一个或多个因素来计算度量:要求,覆盖率,历史和成本。 要求因素考虑了客户分配的测试代码的优先级,实现代码的复杂性和代码的错误。 覆盖率考虑代码覆盖率,功能覆盖率和常用使用率。 历史因素考虑以前的错误发现率,病例稳定率和优先级来计算。 成本因素考虑测试用例执行时间和步长。 一个测试用例的每个因子的值根据该测试用例进行测量,与其他测试用例无关。 表示每个测试用例的度量的计算结果决定了测试用例的优先级。
    • 10. 发明申请
    • METHOD AND SYSTEM FOR ONLINE ADVERTISING
    • 在线广告的方法和系统
    • US20150142555A1
    • 2015-05-21
    • US14404367
    • 2012-06-29
    • Zhaohui ZhengXin LiRongqing Lu
    • Zhaohui ZhengXin LiRongqing Lu
    • G06Q30/02G06Q50/00
    • G06Q30/0242G06Q30/0241G06Q30/0244G06Q30/0247G06Q30/0251G06Q30/0269G06Q30/0277G06Q50/01H04L12/1492H04L67/20
    • Method, system, and programs for online advertising are disclosed. One or more targets associated with an entity are identified based on a first piece of information related to each target and a second piece of information related to the entity. The one or more targets are considered as likely being interested in content that can be made available by the entity. A connection is established between the entity and each identified target through a bi-directional communication channel. Activities between the entity and each target through the bi-directional communication channel are monitored. The entity delivers the content to an identified target through the bi-directional communication channel established between the entity and the identified target. In response to the delivered content, the identified target is able to provide a feedback to the entity through the bi-directional communication channel.
    • 披露了在线广告的方法,系统和程序。 基于与每个目标相关的第一条信息和与该实体相关的第二条信息来识别与一个实体相关联的一个或多个目标。 一个或多个目标被认为可能对可由实体提供的内容感兴趣。 通过双向通信信道在实体和每个识别的目标之间建立连接。 通过双向通信通道监视实体与每个目标之间的活动。 实体通过在实体和所识别的目标之间建立的双向通信信道将内容传送到所识别的目标。 响应于传递的内容,所识别的目标能够通过双向通信信道向实体提供反馈。