Executing system actions corresponding to user inputs

1. A computer implemented method to execute a system action corresponding to a user input, comprising:

determining the user input and a corresponding user input pattern received on a computer generated user interface (UI);

based upon the user input pattern corresponding to the user input, a processor of the computer predicting a probable succeeding user input by determining one or more available succeeding UI elements succeeding from the UI element that received the user input and by processing the user input pattern and the available succeeding UI elements;

querying a network repository to determine the system action corresponding to the probable succeeding user input;

processing the system action corresponding to the probable succeeding user input to persist metadata associated with the system action corresponding to the probable succeeding user input in a UI buffer associated with the computer generated UI; and

determining a correlation between an actual succeeding user input received on the computer generated UI and the predicted probable succeeding user input, to retrieve the metadata of the corresponding system action from the UI buffer for execution.

2. The computer implemented method of claim 1 , wherein determining the user input pattern includes determining structural criteria of the user input including one or more occurrences of recurring events associated with the business process to be executed, and based upon the structural criteria, the processor of the computer statistically predicting the probable succeeding user input.

3. The computer implemented method of claim 2 , wherein statistically interpreting the probable succeeding user input includes:

determining one or more available succeeding UI elements succeeding from a UI element that received the user input; and

processing the user input pattern and the available succeeding UI elements to interpret the probable succeeding user input.

4. The computer implemented method of claim 1 , wherein predicting a probable succeeding user input includes: predicting one or more navigational inputs prior to an occurrence of the succeeding user input.

5. The computer implemented method of claim 1 further including: receiving the user input at one or more UI elements associated with the computer generated UI.

6. The computer implemented method of claim 1 , wherein predicting the probable succeeding user input comprise:

generating a UI control grid representing a structural illustration of the computer generated UI, wherein the UI control grid includes one or more grid elements, and each grid element representing a correlation with one or more UI elements corresponding to the computer generated UI; and

identifying a corresponding preceding user input by identifying the user input pattern each grid element, to interpret a probable succeeding user input.

7. The computer implemented method of claim 6 , wherein identifying the user input pattern each grid element includes: identifying the user input at each UI element, and translating the user input to a grid element understandable correlation.

8. The computer implemented method of claim 6 , further including: mapping each grid element to a corresponding section of the computer generated UI, to identify the user input pattern at the corresponding section and notify the grid element.

9. The computer implemented method of claim 1 , wherein retrieving the metadata of the corresponding system action includes: instantaneously executing the system action based upon the metadata, to condense a network latency of an associated communication network.

10. The computer implemented method of claim 1 , wherein persisting the metadata of the system action includes: prefetching a system action corresponding to a probable succeeding navigational input and preloading the UI buffer with the prefetched system action.

11. The computer implemented method of claim 1 , wherein determining the correlation includes:

determining a succeeding user input to a succeeding UI element on the computer generated UI;

based upon the succeeding user input to the succeeding UI element, determining whether the succeeding user input is identical to the predicted probable succeeding user input;

retrieving the metadata of the system action corresponding to the predicted probable succeeding user input; and

executing the system action in view of the succeeding user input.

12. The computer implemented method of claim 1 , wherein determining the user input pattern includes determining a current location and a current position of the user input.

13. The computer implemented method of claim 1 , wherein determining the user input pattern includes determining a movement of the user input.

14. The computer implemented method of claim 1 , wherein predicting a probable succeeding user input further includes:

recording a movement of the user input; and

based upon the movement of the user input, triggering a UI controller to predict the probable succeeding user input.

15. An article of manufacture including a computer readable storage medium to tangibly store instructions, which when executed by a computer, cause the computer to:

determine the user input and a corresponding user input pattern received on a computer generated user interface (UI);

predict a probable succeeding user input based upon the user input pattern corresponding to the user input, by determining one or more available succeeding UI elements succeeding from the UI element that received the user input and processing the user input pattern and the available succeeding UI elements;

query a network repository to determine the system action corresponding to the probable succeeding user input;

process the system action corresponding to the probable succeeding user input to persist metadata associated with the system action corresponding to the probable succeeding user input in a UI buffer associated with the computer generated UI; and

determine a correlation between an actual succeeding user input received on the computer generated UI and the predicted probable succeeding user input, to retrieve the metadata of the corresponding system action from the UI buffer for execution.

16. A computing system to execute a system action corresponding to a user input, comprising:

a processor to read and execute instructions stored in one or more memory elements; and

the one or more memory elements storing instructions related to:

a computer generated user interface to receive the user input and determine a corresponding user input pattern;

a UI controller

to predict a probable succeeding user input, by determining one or more available succeeding UI elements succeeding from the UI element that received the user input, and processing the user input pattern and the available succeeding UI elements;

to query a network repository to determine the system action corresponding to the probable succeeding user input,

to process the system action corresponding to the probable succeeding user input and persist metadata associated with the system action corresponding to the probable succeeding user input in a UI buffer, and

to determine a correlation between an actual succeeding use input received on the computer generated UI and the predicted probable succeeding user input to retrieve the metadata of the corresponding system action from the UI buffer for execution.

17. The computing system of claim 16 , wherein the UI controller generates a UI control grid representing a structural illustration of the computer generated UI.

18. The computing system of claim 16 , wherein the UI controller determines structural criteria of the user input to statistically interpret a probable succeeding user input.

19. The computing system of claim 16 , wherein the UI controller determines one or more available succeeding UI elements succeeding from a UI element that received the user input and processing the user input pattern and the available succeeding UI elements to interpret the probable succeeding user input.

20. The computing system of claim 16 , wherein the UI controller predicts one or more navigational inputs prior to an occurrence of the succeeding user input.