Direct build assistance
    1.
    发明授权

    公开(公告)号:US10114627B2

    公开(公告)日:2018-10-30

    申请号:US14706883

    申请日:2015-05-07

    Inventor: Philip Bergen

    Abstract: A tool for installing and configuring a software development environment with an embedded help feature is provided. The help feature may provide a user (e.g., developer) with technical assistance to resolve problems that occur when building software. In one example, the system may include a configuration tool that includes a help feature and installs and configures one or more software programs to build software. The software programs may include, for example, operating systems, source code editors, debuggers, software build tools or any component of a software development environment.

    DIRECT BUILD ASSISTANCE
    2.
    发明申请
    DIRECT BUILD ASSISTANCE 审中-公开
    直接建筑辅助

    公开(公告)号:US20160077820A1

    公开(公告)日:2016-03-17

    申请号:US14706883

    申请日:2015-05-07

    Inventor: Philip Bergen

    CPC classification number: G06F8/61 G06F8/71 G06F9/453 G06Q30/016

    Abstract: A tool for installing and configuring a software development environment with an embedded help feature is provided. The help feature may provide a user (e.g., developer) with technical assistance to resolve problems that occur when building software. In one example, the system may include a configuration tool that includes a help feature and installs and configures one or more software programs to build software. The software programs may include, for example, operating systems, source code editors, debuggers, software build tools or any component of a software development environment.

    Abstract translation: 提供了一种用于安装和配置具有嵌入式帮助功能的软件开发环境的工具。 帮助功能可以向用户(例如,开发者)提供技术帮助以解决在构建软件时出现的问题。 在一个示例中,系统可以包括配置工具,其包括帮助功能,并且安装和配置一个或多个软件程序以构建软件。 软件程序可以包括例如操作系统,源代码编辑器,调试器,软件构建工具或软件开发环境的任何组件。

    System and method for detecting an error in software

    公开(公告)号:US10423522B2

    公开(公告)日:2019-09-24

    申请号:US15485593

    申请日:2017-04-12

    Inventor: Philip Bergen

    Abstract: A computer-implemented method of detecting a likely software malfunction is provided. The method comprises collecting a plurality of software error data sets wherein each software error data set comprises a proposed code section containing an error and a corrected code section containing code changes that fixed the error in the proposed code section. The method further comprises training a computer-implemented algorithmic model using the collected software error data sets to devise a software code classifier for predicting a likely error in a code section, reviewing a section of code using the software code classifier, and identifying suspicious code in the reviewed section of code as containing a suspected error using the software code classifier.

    SYSTEM AND METHOD FOR DETECTING AN ERROR IN SOFTWARE

    公开(公告)号:US20180300227A1

    公开(公告)日:2018-10-18

    申请号:US15485593

    申请日:2017-04-12

    Inventor: Philip Bergen

    Abstract: A computer-implemented method of detecting a likely software malfunction is provided. The method comprises collecting a plurality of software error data sets wherein each software error data set comprises a proposed code section containing an error and a corrected code section containing code changes that fixed the error in the proposed code section. The method further comprises training a computer-implemented algorithmic model using the collected software error data sets to devise a software code classifier for predicting a likely error in a code section, reviewing a section of code using the software code classifier, and identifying suspicious code in the reviewed section of code as containing a suspected error using the software code classifier.

    SYSTEMS AND METHODS FOR MACHINE LEARNING CLASSIFIERS FOR SUPPORT-BASED GROUP

    公开(公告)号:US20180285775A1

    公开(公告)日:2018-10-04

    申请号:US15477400

    申请日:2017-04-03

    Inventor: Philip Bergen

    Abstract: Systems and methods are provided for classifying support-related messages from users in a support-related group. A method includes receiving a support-related message containing a support-related problem. The received support-related message is classified by using a processor-implemented machine learning model to identify a support-related category. The identified support-related category is provided for user display.

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