International Business Machines Corporation

Sailpoint Technology Holdings, Inc.

Gavin George Bray

Kalvinder Pal Singh

Elizabeth Marie Hughes

Timothy Simon Bartley

Neil Ian Readshaw

Jayashree Ramanathan

Chia-Le Cheng

Heather Maria Hinton

Anthony Scott Moran

Ian Glazer

Venkat Raghavan

Brian James Turner

Shane Weeden

Lachlan A Hillman

A method of policy management in a Data Loss Prevention (DLP) system uses a policy model that associates a user with one or more DLP endpoints. When an endpoint is added to the system, a set of policies for that endpoint are determined using an identity of the user that is associated with the endpoint and a list of roles or groups for that user. At policy distribution time, the method determines a set of endpoints to which the policy is to be distributed.

Method and apparatus for associating data loss protection (DLP) policies with endpoints

Automatically establishing and/or modifying a trust relationship between devices, including mobile devices, in communication, and customizing a user interface workflow based on the trust relationship. Trust relationships are based on numerous proximity-related factors including automatically gathered proximity data, length of time in proximity, and signals detected from a target communication device as well as other nearby communication devices.

Establishing and using a trust level in mobile phones

An approach to generating a context for translating strings for a graphical user interface. The approach includes a computer receiving a string to be translated and associated source code, the string identified by a unique key within the associated source code and the associated source code is markup language. The computer identifies a first logical section of the associated source code corresponding to a unique key of the string and one or more graphical user interface components within the identified logical section of the associated source code. The computer then creates a mockup image presenting the one or more graphical user interface components and the string. The computer then labels, in the created mockup image, each of the one or more graphical user interface components and the first string of the plurality of strings, and identifies one or more additional graphical user interface components.

Generating a context for translating strings based on associated application source code and markup

According to embodiments of the present invention, a first metadata defining how a user interface associated with an application under test should appear is generated using one or more computer processors. An image of the user interface associated with the application under test that is invoked during a test run is captured using one or more one or more computer processors. The captured image is converted, using one or more computer processors, into one or more of a second metadata and text. The first metadata is compared, using one or more computer processors, to the second metadata and the text. In response to the comparison resulting in a difference between the first metadata and the second metadata, the image is stored, using one or more computer processors, and an assessment request is generated using one or more computer processors.

Automated validation of the appearance of graphical user interfaces

A method for visualization of big data using three dimensional pie charts. The method includes receiving at least a first set of data, comprising information detailing one or more subsets of values, each value having an associated time element. The method includes determining a three dimensional pie chart based on the at least first set of data, which includes at least as first layer comprising a first set of wedges and a second layer comprising a second set of wedges. The method includes displaying the three dimensional pie chart comprising at least the first layer and the second layer.

Three dimensional visualization of big data

A method for generating a context for translating strings for a graphical user interface. The method includes receiving a string to be translated and associated source code, the string identified by a unique key within the associated source code. The method includes identifying a first logical section of the associated source code corresponding to a unique key of the string. The method includes identifying one or more graphical user interface components within the identified logical section of the associated source code. The method then includes creating a mockup image presenting the one or more graphical user interface components and the string.

A method for dynamically adjusting an actual wait period associated with an operating system call, wherein the operating system call suspends execution of at least one thread in a plurality of threads associated with an operating environment is provided. The method may include determining a utilization factor function associated with the operating environment. The method may also include selecting at least one performance counter within a plurality of performance counters associated with the operating environment. The method may further include computing a utilization factor based on the determined utilization factor function and the selected at least one performance counter. Additionally, the method may include intercepting an operating system call, wherein the operating system call includes a requested wait period parameter. The method may also include updating the actual wait period associated with the intercepted operating system call based on the requested wait period parameter and the computed utilization factor.

Dynamically adjusting wait periods according to system performance

A computer identifies lines of code of a product program that have been modified after an initial test of the product program. The computer determines the overlap between lines of code that have been modified and a mapped test case. The computer determines a weighted value for the mapped test case based on two or more of, an environment of the test case, the degree of the overlap, a time the test case was last executed, a time the test case takes to execute, and a priority of a defect. The environment of the test case is configured to replicate a working environment where the product program is to be deployed and includes an operating system, a hardware configuration, and the configuration of the operating system.

Prioritizing test cases using multiple variables

An endpoint machine has a unique endpoint identifier based on a configurable set of hardware attributes for an endpoint type. The endpoint agent running on that machine has an associated software identifier registered with the endpoint management solution upon install. The management server generates the unique endpoint identifier and provides it to the endpoint agent. Periodically, checks are run on the endpoint by the endpoint agent to determine if any of the hardware attributes have changed. If so, the endpoint identifier and the new hardware attribute values are sent to the management server, which uses the information to recognize the endpoint as the same endpoint or to detect a clone of known endpoint. If the endpoint type is unknown or does not exist, the unique software identifier may be used to facilitate the identification process, including the ability to detect a cloned machine.

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Robina, Australia

Gavin George Bray