Separation of concerns between information technology services models

    公开(公告)号:US09836282B2

    公开(公告)日:2017-12-05

    申请号:US12261989

    申请日:2008-10-30

    CPC classification number: G06F8/10 G06F8/20 G06F8/24

    Abstract: Methods, systems, and computer program products are provided for exchanging information between information technology (IT) services. An architecture provides separation of concern between the models by separating the models for IT services into an operation model and a structural model that are linked by a service model. The service model can be configurable to extend the operation model. Configuration of the operation model includes defining messages exchanged between the IT services. Configuration of the structural model includes capturing a structure of the IT services. The service model has an association with the structural model, the association making the structural model opaque to the operation model.

    Test relevancy prediction for code changes

    公开(公告)号:US11494288B2

    公开(公告)日:2022-11-08

    申请号:US15680092

    申请日:2017-08-17

    Abstract: In some examples, test relevancy prediction for code changes may include ascertaining files for a commit for a build, and for each test of a plurality of tests, determining a score based on a weight assigned to a file of the ascertained files. Test relevancy prediction for code changes may further include ordering each test of the plurality of tests according to the determined score, and identifying, based on the ordering of each test of the plurality of tests, tests from the plurality of tests for which the score exceeds a specified threshold. The identified tests may represent tests that are to be applied to the build.

    Recommending analytic tasks based on similarity of datasets

    公开(公告)号:US11461368B2

    公开(公告)日:2022-10-04

    申请号:US15580430

    申请日:2015-06-23

    Abstract: Recommending analytic tasks based on similarity of datasets is disclosed. One example is a system including a data processor, a matching module, and a recommendation module. The data processor receives an incoming dataset via a processing system, and generates a feature vector for the incoming dataset. The matching module determines similarity measures between the generated feature vector and representative feature vectors for a plurality of datasets in a data repository, and selects at least one dataset of the plurality of datasets based on the similarity measures. The recommendation module identifies at least one analytic task associated with the selected dataset, and recommends, to a computing device via the processing system, the at least one analytic task to be performed on the incoming dataset.

    RECORDING TEST USAGE OF A GRAPHICAL USER INTERFACE WITH BLOCKED INPUTS

    公开(公告)号:US20220300396A1

    公开(公告)日:2022-09-22

    申请号:US17608938

    申请日:2019-06-06

    Abstract: An apparatus may include a processor (102) that may generate automated test scripts to test graphical user interface (GUI) functions of an application under test (AUT) (235). The apparatus may generate a screen element (220) that is overlaid onto at least one or all of the GUIs (210). The screen element (220) may therefore receive user inputs directed at the GUI (210), but block such inputs from being provided to the GUI (210). The user inputs received at the screen element (220) may be recorded in an automated test script for later replay. Blocking the user input may prevent a change in appearance of a GUI element (212) that would otherwise result from the user input, facilitating automated location of the GUI element (212) during replay of the automated test script.

    Security indicator scores
    137.
    发明授权

    公开(公告)号:US11303662B2

    公开(公告)日:2022-04-12

    申请号:US15561564

    申请日:2015-04-20

    Abstract: Examples disclosed herein relate to security indicator scores. The examples enable obtaining a security indicator created by a first user where the security indicator may comprise a first observable, and obtaining, from a first source entity, a first sighting of the first observable. The first sighting of the first observable may indicate that the first observable has been observed by the first source entity where the first source entity is associated with a first level of source reliability. The examples enable determining a number of sightings of the first observable. The examples enable determining a first observable score based on the number of sightings of the first observable and the first level of source reliability, and determining an indicator score associated with the security indicator based on the first observable score. The indicator score may be presented to a community of users via a user interface.

    Aggregating anomaly scores from anomaly detectors

    公开(公告)号:US11244043B2

    公开(公告)日:2022-02-08

    申请号:US16426862

    申请日:2019-05-30

    Abstract: In some examples, a system determines a dependency among a plurality of anomaly detectors, the determining comprising clustering anomaly detectors of the plurality of anomaly detectors into clusters of anomaly detectors. The system aggregates anomaly scores produced by anomaly detectors in a first cluster of anomaly detectors, to generate a first aggregate anomaly score, and detects an anomaly using the first aggregate anomaly score.

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