Abstract: A method, system and program product, the method comprising determining a first rule set comprising a plurality of patterns of run-time data; obtaining a second rule set comprising a respective priority assigned to respective of the application context IDs and/or user IDs and/or business priorities or combinations of two or more thereof; receiving run-time data for a first plurality of the user IDs; determining application context IDs running on desktops; generating allocation data and/or prioritization data for allocation of electronic resources for user IDs, based at least in part on the second rule set; and sending signals, based on the allocation data and/or the prioritization data.

Abstract: A method, system and program product, the method comprising determining a first rule set comprising a plurality of patterns of run-time data; obtaining a second rule set comprising a respective priority assigned to respective of the application context IDs and/or user IDs and/or business priorities or combinations of two or more thereof; receiving run-time data for a first plurality of the user IDs; determining application context IDs running on desktops; generating allocation data and/or prioritization data for allocation of electronic resources for user IDs, based at least in part on the second rule set; and sending signals, based on the allocation data and/or the prioritization data.

Abstract: A method, system and program product, the method comprising determining a first rule set comprising a plurality of patterns of run-time data; obtaining a second rule set comprising a respective priority assigned to respective of the application context IDs and/or user IDs and/or business priorities or combinations of two or more thereof; receiving run-time data for a first plurality of the user IDs; determining application context IDs running on desktops; generating allocation data and/or prioritization data for allocation of electronic resources for user IDs, based at least in part on the second rule set; and sending signals, based on the allocation data and/or the prioritization data.

Abstract: A method, system and program product, the method comprising determining a first rule set comprising a plurality of patterns of run-time data; obtaining a second rule set comprising a respective priority assigned to respective of the application context IDs and/or user IDs and/or business priorities or combinations of two or more thereof; receiving run-time data for a first plurality of the user IDs; determining application context IDs running on desktops; generating allocation data and/or prioritization data for allocation of electronic resources for user IDs, based at least in part on the second rule set; and sending signals, based on the allocation data and/or the prioritization data.

Abstract: A method, system and program product, the method comprising determining a first rule set comprising a plurality of patterns of run-time data; obtaining a second rule set comprising a respective priority assigned to respective of the application context IDs and/or user IDs and/or business priorities or combinations of two or more thereof; receiving run-time data for a first plurality of the user IDs; determining application context IDs running on desktops; generating allocation data and/or prioritization data for allocation of electronic resources for user IDs, based at least in part on the second rule set; and sending signals, based on the allocation data and/or the prioritization data.

Abstract: A method, system and program product, the method comprising determining a first rule set comprising a plurality of patterns of run-time data; obtaining a second rule set comprising a respective priority assigned to respective of the application context IDs and/or user IDs and/or business priorities or combinations of two or more thereof; receiving run-time data for a first plurality of the user IDs; determining application context IDs running on desktops; generating allocation data and/or prioritization data for allocation of electronic resources for user IDs, based at least in part on the second rule set; and sending signals, based on the allocation data and/or the prioritization data.

Abstract: Presented is a system and method for monitoring events derived from a computer target application presentation layer including the steps of providing, independent of recompiling the target application's source code, a script running at a level within the target application. The script scans run-time instantiations of objects of the target application, and allocates structures in real-time to the object instantiations. These allocated structures are adapted to create a reflection of the target application structure, which is used along with detected object instantiations that match a predetermined object structure to capture a portion of an environmental spectrum of the detected object. Further, the system can process state machine events occurring on at least one of a server machine and a client/localized machine, correlate the state machine events with the environmental spectrum, and deduce a user experience based on the correlated state machine events.

Abstract: A method, system and program product, the method comprising determining a first rule set comprising a plurality of patterns of run-time data; obtaining a second rule set comprising a respective priority assigned to respective of the application context IDs and/or user IDs and/or business priorities or combinations of two or more thereof; receiving run-time data for a first plurality of the user IDs; determining application context IDs running on desktops; generating allocation data and/or prioritization data for allocation of electronic resources for user IDs, based at least in part on the second rule set; and sending signals, based on the allocation data and/or the prioritization data.

Abstract: Presented is a system and method for monitoring events derived from a computer target application presentation layer including the steps of providing, independent of recompiling the target application's source code, a script running at a level within the target application. The script scans run-time instantiations of objects of the target application, and allocates structures in real-time to the object instantiations. These allocated structures are adapted to create a reflection of the target application structure, which is used along with detected object instantiations that match a predetermined object structure to capture a portion of an environmental spectrum of the detected object. Further, the system can process state machine events occurring on at least one of a server machine and a client/localized machine, correlate the state machine events with the environmental spectrum, and deduce a user experience based on the correlated state machine events.

Abstract: A Cooperative Help Assistance (CHA) system and method provide real-time user assistance for one or more windows-based Graphic User Interface (GUI) applications or a single application's different subsections such as web pages, running concurrently in any operating system. The CHA System enables the development of an informative assistance object independently from the original source code or development environment of the target Host Application. The assistance object can be selected by any number of user interfaces from sophisticated inference driven interactive interface search tools or categorized lists. By intercepting and monitoring user actions on a Host Application, the CHA system performs intelligent assistance in the context of the target host application program.

Abstract: Presented is a system and method for monitoring events derived from a computer target application presentation layer including the steps of providing, independent of recompiling the target application's source code, a script running at a level within the target application. The script scans run-time instantiations of objects of the target application, and allocates structures in real-time to the object instantiations. These allocated structures are adapted to create a reflection of the target application structure, which is used along with detected object instantiations that match a predetermined object structure to capture a portion of an environmental spectrum of the detected object. Further, the system can process state machine events occurring on at least one of a server machine and a client/localized machine, correlate the state machine events with the environmental spectrum, and deduce a user experience based on the correlated state machine events.