TASK-RELATED DATA PROCESSING USING MACHINE LEARNING TECHNIQUES

    公开(公告)号:US20240378536A1

    公开(公告)日:2024-11-14

    申请号:US18196549

    申请日:2023-05-12

    Abstract: Methods, apparatus, and processor-readable storage media for task-related data processing using machine learning techniques are provided herein. An example computer-implemented method includes obtaining data related to at least one decision-making context in connection with at least one user; classifying at least a portion of the obtained data into one or more of multiple categories of action-related requirements associated with the at least one decision-making context; recommending one or more tasks in furtherance of the at least one decision-making context by processing at least a portion of the classified data using one or more machine learning techniques; and performing one or more automated actions based at least in part on the one or more recommended tasks.

    SOURCE CODE-BASED DETERMINATION OF DIFFERENCES BETWEEN WEB ELEMENTS OF DIFFERENT VERSIONS OF A WEB APPLICATION

    公开(公告)号:US20240303074A1

    公开(公告)日:2024-09-12

    申请号:US18118807

    申请日:2023-03-08

    CPC classification number: G06F8/71 G06F8/31

    Abstract: An apparatus comprises a processing device configured to select first and second versions of a web application, to obtain first and second sets of source code files used for generating front ends of the first and second versions of the web application, and to generate first and second sets of tree structures based at least in part on the first and second sets of source code files, respectively. The processing device is also configured to identify node differences between the first and second sets of tree structures and to generate, based at least in part on the identified node differences, information characterizing differences between web elements of the first and second versions of the web application. The processing device is further configured to initiate automated action based at least in part on the generated information characterizing differences between web elements of the first and second versions of the web application.

    Machine-learning based generation of database configurations for databases associated with applications

    公开(公告)号:US12298947B2

    公开(公告)日:2025-05-13

    申请号:US18240643

    申请日:2023-08-31

    Abstract: An apparatus comprises at least one processing device configured to obtain information characterizing a user interface (UI) of an application, the obtained information comprising an image of the UI and textual data associated with the UI. The processing device is also configured to generate, by processing the image utilizing a first machine learning model, a first data structure characterizing data fields corresponding to UI components in the UI. The processing device is further configured to generate, by processing the textual data utilizing a second machine learning model, a second data structure characterizing relationships between the data fields. The processing device is further configured to determine, based on the first and second data structures, a database configuration comprising an organization of the data fields into tables for a database associated with the application. The processing device is further configured to generate the database in accordance with the determined database configuration.

    GENERATING CONTEXT-BASED AND USER-RELATED PREDICTIONS USING ARTIFICIAL INTELLIGENCE TECHNIQUES

    公开(公告)号:US20250126185A1

    公开(公告)日:2025-04-17

    申请号:US18378909

    申请日:2023-10-11

    Abstract: Methods, apparatus, and processor-readable storage media for generating context-based and user-related predictions using artificial intelligence techniques are provided herein. An example computer-implemented method includes determining one or more user parameters by processing information related to a user in association with at least one web application; determining context information associated with the user accessing one or more portions of the at least one web application; generating one or more predictions associated with future use of the at least one web application by the user by processing at least a portion of the one or more user parameters and at least a portion of the context information using one or more artificial intelligence techniques; and performing one or more automated actions based at least in part on the one or more predictions associated with future use of the at least one web application by the user.

    Source code-based determination of differences between web elements of different versions of a web application

    公开(公告)号:US12277417B2

    公开(公告)日:2025-04-15

    申请号:US18118807

    申请日:2023-03-08

    Abstract: An apparatus comprises a processing device configured to select first and second versions of a web application, to obtain first and second sets of source code files used for generating front ends of the first and second versions of the web application, and to generate first and second sets of tree structures based at least in part on the first and second sets of source code files, respectively. The processing device is also configured to identify node differences between the first and second sets of tree structures and to generate, based at least in part on the identified node differences, information characterizing differences between web elements of the first and second versions of the web application. The processing device is further configured to initiate automated action based at least in part on the generated information characterizing differences between web elements of the first and second versions of the web application.

    GENERATING TEST CASES FOR SOFTWARE TESTING USING MACHINE LEARNING TECHNIQUES

    公开(公告)号:US20250045189A1

    公开(公告)日:2025-02-06

    申请号:US18229247

    申请日:2023-08-02

    Abstract: Methods, apparatus, and processor-readable storage media for generating test cases for software testing using machine learning techniques are provided herein. An example computer-implemented method includes obtaining user input data associated with at least one software application; identifying one or more predetermined types of information, including one or more of topic-related information and entity-related information, from at least a portion of the user input data using at least a first set of one or more machine learning techniques; generating one or more test cases for testing at least a portion of the at least one software application by processing at least a portion of the identified information using at least a second set of one or more machine learning techniques; and performing one or more automated actions based at least in part on at least one of the one or more generated test cases.

    GENERATING RESPONSES TO SEARCH QUERIES BASED ON CONTEXT OF USERS ASSOCIATED WITH THE SEARCH QUERIES

    公开(公告)号:US20250005086A1

    公开(公告)日:2025-01-02

    申请号:US18342887

    申请日:2023-06-28

    Abstract: An apparatus comprises a processing device configured to receive a search query associated with a given user, to determine a user context specifying topics of interest and a level of detail sought by the given user, and to execute the search query to obtain search results. The processing device is also configured to apply natural language processing to the search results to assign classifications from a set defined based at least in part on the topics of interest of the given user. The processing device is further configured to utilize machine learning to filter the search results for relevancy based at least in part on the classifications assigned to the search results. The processing device is further configured to generate and provide to the given user a search response to the search query in a format selected based on the level of detail sought by the given user.

    MACHINE-LEARNING BASED PREDICTION OF DEFECT-PRONE COMPONENTS OF INFORMATION TECHNOLOGY ASSETS

    公开(公告)号:US20250004936A1

    公开(公告)日:2025-01-02

    申请号:US18342882

    申请日:2023-06-28

    Abstract: An apparatus comprises a processing device configured to determine specifications for an information technology asset to be developed, and to identify, utilizing at least one machine learning model, whether at least one of the specifications for the information technology asset is defect-prone, wherein a given specification is identified as defect-prone responsive to at least one output of the at least one machine learning model indicating that the given specification has at least a threshold likelihood of resulting in one or more defects during development of the information technology asset. The processing device is also configured to establish a mapping between the one or more identified defect-prone specifications for the information technology asset and one or more components of the information technology asset, and to modify one or more development processes for the information technology asset based at least in part on the established mapping.

    MULTI-LEVEL CONSOLE INTERFACE FOR COMPUTING DEVICES

    公开(公告)号:US20240289142A1

    公开(公告)日:2024-08-29

    申请号:US18114470

    申请日:2023-02-27

    CPC classification number: G06F9/4451

    Abstract: An apparatus comprises a processing device configured to detect a user login to access a console of a computing device implementing a multi-level console interface comprising two or more levels each associated with a set of criteria, goals to be achieved, and actions relevant for achieving the goals. The processing device is also configured to determine a current state of the computing device, and to select a given level of the multi-level console interface based at least in part on mapping the current state to a given set of criteria associated with the given level. The processing device is further configured to provide, via the console of the computing device, an interface screen corresponding to the given level, the interface screen displaying the actions relevant for achieving the goals of the given level to facilitate transitioning of the computing device from the current state to a desired state.

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