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    • 1. 发明申请
    • CODE CLONE NOTIFICATION AND ARCHITECTURAL CHANGE VISUALIZATION
    • 代码通知和架构变更可视化
    • US20120159434A1
    • 2012-06-21
    • US12972535
    • 2010-12-20
    • Yingnong DangSadi KhanDongmei ZhangWeipeng LiuSong GeGong Cheng
    • Yingnong DangSadi KhanDongmei ZhangWeipeng LiuSong GeGong Cheng
    • G06F9/44
    • G06F8/36G06F8/751
    • A code verification system is described herein that provides augmented code review with code clone analysis and visualization to help software developers automatically identify similar instances of the same code and to visualize differences in versions of software code over time. The system uses code clone search technology to identify code clones and to present the user with information about similar code as the developer makes changes. The system may provide automated notification to the developer or to other teams as changes are made to code segments with one or more related clones. The code verification system also helps the developer to understand architectural evolution of a body of software code. The code verification system provides an analysis component for determining architectural differences based on the code clone detection result between the two versions of the software code base. The code verification system also provides a user interface component for displaying identified differences to developers and others involved with the software development process in intuitive and useful ways.
    • 本文描述了一种代码验证系统,其通过代码克隆分析和可视化来提供增强的代码审查,以帮助软件开发人员自动识别相同代码的相似实例,并可视化软件代码随时间的版本的差异。 该系统使用代码克隆搜索技术来识别代码克隆,并向用户呈现与开发者进行更改相似的代码的信息。 系统可以向开发人员或其他团队提供自动通知,因为对具有一个或多个相关克隆的代码段进行了更改。 代码验证系统还可以帮助开发人员了解一系列软件代码的架构演变。 代码验证系统基于软件代码库的两个版本之间的代码克隆检测结果提供了用于确定架构差异的分析组件。 代码验证系统还提供了一个用户界面组件,用于以直观和有用的方式向开发人员和与软件开发过程相关的其他人显示识别的差异。
    • 6. 发明授权
    • Platform for learning based recognition research
    • 基于学习的平台识别研究
    • US08266078B2
    • 2012-09-11
    • US12366655
    • 2009-02-06
    • Yu ZouHao WeiGong ChengDongmei ZhangJian Wang
    • Yu ZouHao WeiGong ChengDongmei ZhangJian Wang
    • G06F15/18G06K9/62G06K9/46
    • G06K9/6253G10L15/063
    • A method for researching and developing a recognition model in a computing environment, including gathering one or more data samples from one or more users in the computing environment into a training data set used for creating the recognition model, receiving one or more training parameters defining a feature extraction algorithm configured to analyze one or more features of the training data set, a classifier algorithm configured to associate the features to a template set, a selection of a subset of the training data set, a type of the data samples, or combinations thereof, creating the recognition model based on the training parameters, and evaluating the recognition model.
    • 一种用于在计算环境中研究和开发识别模型的方法,包括将来自所述计算环境中的一个或多个用户的一个或多个数据样本收集到用于创建所述识别模型的训练数据集中,接收定义一个或多个训练参数的训练参数 特征提取算法,其被配置为分析训练数据集的一个或多个特征,分类器算法,被配置为将特征与模板集合相关联,训练数据集的子集的选择,数据样本的类型或其组合 ,基于训练参数创建识别模型,并对识别模型进行评估。