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    SYSTEM FOR IDENTIFYING AND INFERRING WEB SESSION EVENTS
    143.
    发明公开
    SYSTEM FOR IDENTIFYING AND INFERRING WEB SESSION EVENTS 审中-公开
    识别和推介网络会话事件的系统

    公开(公告)号：EP2585920A2

    公开(公告)日：2013-05-01

    申请号：EP11724074.7

    申请日：2011-05-05

    Applicant: Tealeaf Technology, Inc.

    Inventor： WENIG, Robert, I. ,  PUNJABI, Manoj ,  TOWNSEND, Geoff

    IPC: G06F11/34 ,  G06N5/04 ,  G06F15/18

    CPC classification number: G06F11/3476 ,  G06F11/3414 ,  G06F11/3495 ,  G06F11/3664 ,  G06F2201/86 ,  G06F2201/87 ,  G06F2201/875

    Abstract: A test system uses an instrumented browser to identify events that were not successfully captured during a client web session. The identified events can be used to modify a capture system that captures the client web session. Alternatively, the test system may generate replay rules that are used by a replay system to infer the missed events while replaying of the previously captured client web session. The events can include changes to Document Object Models (DOMs) for web pages used during the web sessions. The DOMs can be used to identify significant web session events and force replay sessions into the correct states.

    Abstract translation: 测试系统使用检测浏览器来识别在客户端Web会话期间未成功捕获的事件。 已识别的事件可用于修改捕获客户端Web会话的捕获系统。 或者，测试系统可以生成重播规则，重播规则被重播系统用来在重放先前捕获的客户端网络会话的同时推断错过的事件。 这些事件可以包括对Web会话期间使用的网页的文档对象模型（DOM）的更改。 DOM可用于识别重要的Web会话事件并强制重播会话进入正确的状态。

    Generating dependency maps from dependency data
    146.
    发明公开
    Generating dependency maps from dependency data 审中-公开
    Erzeugung vonAbhängigkeitsabbildungenausAbhängigkeitsdaten

    公开(公告)号：EP2431879A1

    公开(公告)日：2012-03-21

    申请号：EP11250805.6

    申请日：2011-09-15

    Applicant: Computer Associates Think, Inc.

    Inventor： Basak, Indranil

    IPC: G06F11/32 ,  G06F11/34 ,  G06F11/36

    CPC classification number: G06F11/3612 ,  G06F11/323 ,  G06F11/3476 ,  G06F2201/87

    Abstract: Disclosed herein are techniques for generating data that describes dependencies between software components (A1, A2, A3, B1) as transactions are processed, as well as displaying dependency maps based on the data. The data may be collected by agents (112A, 112B) that monitor or trace transactions being processed by the software components (A1, A2, A3, B1). The collected data may be aggregated to form a directed graph that describes the dependencies between the software components (A1, A2, A3, B1). A dependency map may be displayed based on the directed graph. The dependency map may show dependencies between software components (A1, A2, A3, B1) as the transactions are processed. The dependency map may also show dependencies between applications (A, B) that include the software components (A1, A2, A3, B1). The dependency map(s) may allow a user to easily and quickly ascertain where a problem is occurring. For example, the user might be able to quickly determine that a problem is at a backend database, as opposed to an application server at a frontend.

    Abstract translation: 这里公开了用于生成描述处理事务的软件组件（A1，A2，A3，B1）之间的依赖关系的数据的技术，以及基于该数据显示依赖性映射。 数据可以由监视或跟踪由软件组件（A1，A2，A3，B1）处理的事务的代理（112A，112B）收集。 收集的数据可以被聚合以形成描述软件组件（A1，A2，A3，B1）之间的依赖性的有向图。 可以基于有向图显示依赖关系图。 随着事务的处理，依赖关系图可以显示软件组件（A1，A2，A3，B1）之间的依赖关系。 依赖关系图还可以显示包括软件组件（A1，A2，A3，B1）的应用程序（A，B）之间的依赖关系。 依赖图可以允许用户容易且快速地确定出现问题的位置。 例如，与前端的应用程序服务器相反，用户可能能够快速确定问题位于后端数据库。

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