SYSTEM FOR GENERATING A STATE INSTANCE MAP FOR AUTOMATED REGRESSION TESTING

    公开(公告)号:US20220222168A1

    公开(公告)日:2022-07-14

    申请号:US17148206

    申请日:2021-01-13

    Abstract: Systems, computer program products, and methods are described herein for generating a state instance map for automated regression testing. The present invention is configured to initiate a regression testing engine on a second version of an application; determine one or more states of the second version of the application; capture one or more screenshots of the one or more user interfaces of the second version of the application; map the one or more screenshots of the one or more user interfaces with the one or more states; generate one or more nodes based on at least the mapping; generate one or more edges based on at least the action-based navigation; and generate a second state instance map based on at least the one or more nodes and the one or more edges.

    Machine learning based test coverage in a production environment

    公开(公告)号:US11232019B1

    公开(公告)日:2022-01-25

    申请号:US16922227

    申请日:2020-07-07

    Abstract: Aspects of the disclosure relate to machine learning based test coverage in a production environment. A computing platform may retrieve, for a software application, first log data associated with a production environment, and generate a production navigational graph where a node represents a webpage visited by a user, and an edge represents a navigational link between two webpages. Likewise, second log data associated with a testing environment may be retrieved, and a testing navigational graph may be generated, where a node represents a webpage tested by a developer, and an edge represents a navigational link between two webpages. Then, the computing platform may generate a coverage graph indicative of a gap between the navigation activity and the testing activity. Subsequently, the computing platform may provide, via an interactive graphical user interface, the coverage graph, where nodes and edges of the coverage graph are associated with selectable visual objects.

    Machine Learning Based Impact Analysis In A Next-Release Quality Assurance Environment

    公开(公告)号:US20220012069A1

    公开(公告)日:2022-01-13

    申请号:US16922300

    申请日:2020-07-07

    Abstract: Aspects of the disclosure relate to impact analysis in a next-release quality assurance environment for a software application. First log data associated with user navigation of user interface components in a production environment may be retrieved. A production navigational graph may be generated, where a node represents a user interface component visited by a user, and an edge representing a navigational link traversed by the user. Then, second log data associated with release notes for a next-release version of the software application maybe retrieved. Then, the computing platform may identify a change in a portion of a software code in the next-release version, and may identify, based on the production navigational graph, a user interface component and/or a link potentially impacted by the change. The production navigational graph may be provided, via an interactive graphical user interface, where the user interface component and/or the link is visually highlighted.

    Crash Prediction System
    24.
    发明申请

    公开(公告)号:US20210374567A1

    公开(公告)日:2021-12-02

    申请号:US16890224

    申请日:2020-06-02

    Abstract: A crash prediction computing system includes a machine learning module capable of analyzing data logs associated with each of a plurality of services or applications to identify and categorize every error, exception, and/or crash, such as those resulting from client system interactions based on crash type, customer profile type, customer screen navigation flow, time or crash. The machine learning algorithms continuously train the crash prediction models for each crash category with associated client computing system navigation flow. The crash prediction computing system applies each model before each screen/activity navigation to predict whether the next move will result in an error, exception or crash, and for each predicted error, exception, or crash, automatically implement alternate route functionality to arrive at a desired target.

    De-centralized authentication in a network system

    公开(公告)号:US12229765B2

    公开(公告)日:2025-02-18

    申请号:US17750614

    申请日:2022-05-23

    Abstract: User authentication and validation for performing transactions may be performed by a validation server of a service provider. For example, when a login request or purchase request is received, the request may be authenticated or validated before permitting the requested transaction. In some arrangements, the validation may be delegated to one or more devices or users external to the service provider. Multiple validation users may be consulted for each transaction request to determine a consensus validation decision. A consensus may be reached based on unanimous responses or based on a specified threshold level (e.g., more than 50% responding positively or negatively). The service provider may use this consensus determination to authorize or reject a transaction request.

    REAL-TIME CROSS-CHANNEL VERIFICATION
    28.
    发明公开

    公开(公告)号:US20240281813A1

    公开(公告)日:2024-08-22

    申请号:US18110461

    申请日:2023-02-16

    CPC classification number: G06Q20/4016 G06Q20/3255 G06Q20/326

    Abstract: Systems, methods, and apparatus are provided for verification of a communication across communication channel technologies. A secure mobile device application may authenticate a user and launch a background application. The background application may interact with multiple different communication channels, such as an email application and an SMS application. The background application may scan a communication received at one of these channels for a security marker. When the security marker is not present, the mobile device application may display an alert associated with the communication. The scan may be limited to ensure the privacy of the communication content. The scan parameters may be configured at the mobile device application.

    SYSTEMS AND METHODS PROVIDING MULTI-CHANNEL COGNITIVE VIRTUAL ASSISTANCE FOR RESOURCE TRANSFER REQUESTS

    公开(公告)号:US20240160480A1

    公开(公告)日:2024-05-16

    申请号:US17984560

    申请日:2022-11-10

    CPC classification number: G06F9/5027 G10L15/22 G10L2015/223

    Abstract: Systems, computer program products, and methods are described herein for multi-channel cognitive virtual assistance for resource transfer requests. The present disclosure is configured to receive a request from a first user device to complete a resource transfer between a first resource account and a second resource account; analyze the request via a machine learning engine and generate an intent based on a communication contained in the request; generate an automated notification based on the generated intent and forward the automated notification to a second user device; receive an approval, denial, or change request in response to the automated notification; based on the approval, denial, or change request, initiate a resource action between the first resource account and the second resource account.

Patent Agency Ranking