Abstract: Embodiments are directed towards testing a responsiveness of a graphical user interface (GUI) for an application executing on a computer. During execution of each portion of a test, stimuli may be provided to the application. The stimuli may be provided to the application thread that is associated with rendering graphics for the GUI. Responses from the application to the stimuli may be monitored to determine a responsiveness of the application for at least one portion of the test. The responsiveness may be determined based on a wait time between providing a request and receiving a reply to the request, which may indicate that the application is in a state to accept input through the GUI. Responsiveness may be determined separately for each portion of the test. A displayable report may be generated to include the responsiveness of the application for each portion of the test.

Abstract: Embodiments are directed towards generating application models based on discovery based machine learning. A mobile application may be uploaded to a computer that may be part of a testing platform. A reference mobile computer may be selected and the mobile application maybe installed onto the reference mobile computer. Also, the testing platform may generate an initial application model based on the mobile application. The current active window of the mobile application may be determined and the application model may be updated accordingly. Screenshots may be generated that correspond to each current active window of the mobile application. Also, each user-interface control in the active window may be activated. The results of activating each control may be observed and added to the model. If the activation causes navigation, another active window may be determined. The application model may be used for testing other mobile computers.

Abstract: Embodiments are directed towards testing mobile applications for a plurality of mobile computers. A server computer may be provided a mobile application, a test script, and mobile computer criteria. One or more mobile computers may be filtered from a larger set on the mobile computer criteria. The server computer may install the mobile application on each determined mobile computer. Next, each portion of the test script for the mobile application may be performed and/or executed on each determined mobile computer, wherein a result for each performed portion may be stored. During the test run at least one screenshot may be generated based on at least one performed portion of the test script, wherein the screenshots may be stored. The server computer may generate a displayable report that may include each screenshot and a result for each performed portion of the test script.

Abstract: Embodiments are directed towards generating application models based on discovery based machine learning. A mobile application may be uploaded to a computer that may be part of a testing platform. A reference mobile computer may be selected and the mobile application maybe installed onto the reference mobile computer. Also, the testing platform may generate an initial application model based on the mobile application. The current active window of the mobile application may be determined and the application model may be updated accordingly. Screenshots may be generated that correspond to each current active window of the mobile application. Also, each user-interface control in the active window may be activated. The results of activating each control may be observed and added to the model. If the activation causes navigation, another active window may be determined. The application model may be used for testing other mobile computers.

Abstract: Embodiments are directed towards testing a responsiveness of a graphical user interface (GUI) for an application executing on a computer. During execution of each portion of a test, stimuli may be provided to the application. The stimuli may be provided to the application thread that is associated with rendering graphics for the GUI. Responses from the application to the stimuli may be monitored to determine a responsiveness of the application for at least one portion of the test. The responsiveness may be determined based on a wait time between providing a request and receiving a reply to the request, which may indicate that the application is in a state to accept input through the GUI. Responsiveness may be determined separately for each portion of the test. A displayable report may be generated to include the responsiveness of the application for each portion of the test.

Abstract: Embodiments are directed towards testing mobile applications for a plurality of mobile computers. A server computer may be provided a mobile application, a test script, and mobile computer criteria. One or more mobile computers may be filtered from a larger set on the mobile computer criteria. The server computer may install the mobile application on each determined mobile computer. Next, each portion of the test script for the mobile application may be performed and/or executed on each determined mobile computer, wherein a result for each performed portion may be stored. During the test run at least one screenshot may be generated based on at least one performed portion of the test script, wherein the screenshots may be stored. The server computer may generate a displayable report that may include each screenshot and a result for each performed portion of the test script.

Abstract: Embodiments are directed towards testing a responsiveness of a graphical user interface (GUI) for an application executing on a computer. During execution of each portion of a test, stimuli may be provided to the application. The stimuli may be provided to the application thread that is associated with rendering graphics for the GUI. Responses from the application to the stimuli may be monitored to determine a responsiveness of the application for at least one portion of the test. The responsiveness may be determined based on a wait time between providing a request and receiving a reply to the request, which may indicate that the application is in a state to accept input through the GUI. Responsiveness may be determined separately for each portion of the test. A displayable report may be generated to include the responsiveness of the application for each portion of the test.

Abstract: Embodiments are directed towards testing mobile applications for a plurality of mobile computers. A server computer may be provided a mobile application, a test script, and mobile computer criteria. One or more mobile computers may be filtered from a larger set on the mobile computer criteria. The server computer may install the mobile application on each determined mobile computer. Next, each portion of the test script for the mobile application may be performed and/or executed on each determined mobile computer, wherein a result for each performed portion may be stored. During the test run at least one screenshot may be generated based on at least one performed portion of the test script, wherein the screenshots may be stored. The server computer may generate a displayable report that may include each screenshot and a result for each performed portion of the test script.

Abstract: The invention is directed to a system and method of organizing search results. The invention may leverage a chronological timeline of user action information to infer relationships between objects in a search result. The search may be iterative. Search results may be graphically represented as tiles. In one embodiment, the tiles may provide a graphical representation of users associated with an object. The tiles may be updated dynamically upon user action that occurs subsequent to the search. In an alternative embodiment, search results are organized by object type and each tile represents an object within a particular object type. A default action may be associated with an object type.

Abstract: The invention is directed to a system and method of managing information associated with user actions. A monitoring system may gather and store information associated with user actions. Relationships may be inferred between user actions based on time or other criteria. A user may define classifications of user actions. These classifications may be used to retrieve information associated with user actions.

Abstract: The invention is directed to a system and method of managing information associated with user actions. A monitoring system may gather and store information associated with user actions. Relationships may be inferred between user actions based on time or other criteria. A user may define classifications of user actions. These classifications may be used to retrieve information associated with user actions.

Abstract: The invention is directed to a system and method of managing information associated with user actions. A monitoring system may gather and store information associated with user actions. Relationships may be inferred between user actions based on time or other criteria. A user may define classifications of user actions. These classifications may be used to retrieve information associated with user actions.

Abstract: The invention is directed to a system and method of reordering conventional search results provided by a remote search engine such as Google. The invention may leverage a chronological timeline of user action information to infer relationships between objects in a search result. The search result reordering process may be iterative and does not require direct interaction by the user.

Abstract: The invention is directed to a system and method of searching a focal object for related objects. The invention may extract clues or information from the focal object and search the information to identify related objects. The invention also may leverage a chronological timeline of user action information to infer additional relationships with the focal object. The results may be displayed together in a graphical user interface and/or forwarded to a search result recipient. Further, an association graph may graphically depict the focal object and each related object as nodes in a graph.

Abstract: The invention is directed to a system and method of observing actions performed on a computer and generating a timeline that includes timeline entries corresponding to the observed actions. During a computer session, the invention searches the timeline and other locations for objects that relate to target objects that are accessed by users and/or presented to users. The search produces search result objects associated with the target objects. The search result objects may be used to conduct additional searches in order to provide more complete search results.

Abstract: The invention is directed to a system and method of searching a focal object for related objects. The invention may extract clues or information from the focal object and search the information to identify related objects. The invention also may leverage a chronological timeline of user action information to infer additional relationships with the focal object. The related objects may appear on a display for a predetermined amount of time. The invention may provide icons corresponding to related object with characteristics to signify the relevance of the information.

Abstract: The invention is directed to a system and method of observing actions performed on a computer and inferring relationships between objects based on information corresponding to the observed actions. The invention provides an initial content-based search of the desktop system to generate a list that includes a relevance ranking of objects that correspond to a search term. The content-based search result objects may be analyzed for user-action-based information and/or computer-action-based information so that an action-based association comparison may be performed between objects that are discovered during the content-based search. A re-ordering of the list of relevant content-based search result object may be performed and objects may be removed from the list of content-based search results objects. A timeline may be accessed to add action-based search result objects to the list of content-based search result objects.

Abstract: The systems and methods of the invention relate to providing a computer device, having a display unit, with an accelerometer (or other motion sensor) to detect movement of the computer device (and/or an associated display unit) and generate movement data. An accelerometer driver may receive the generated movement data. The generated movement data may be processed and/or interpreted in order to create one or more control signals. The control signals may be sent to a display driver to control movement of one or more selected display objects on one or more display units. The control signals may control movement of selected display objects on a screen display (or between multiple screen displays) associated with the computer device.

Abstract: The invention is directed to a system and method of observing actions performed on a computer and inferring relationships between objects based on information corresponding to the observed actions. Relationships between the objects may be determined based on usage information and a usage pattern may be generated if the usage information recurs a selected number of times in a predetermined period of time. When a usage pattern is generated, objects may be automatically launched, icons may be automatically presented to users, and/or menu bars may be automatically configured based on established profiles.