Natural language text instructions

1. A method executed by a computer, comprising:

displaying a graphical user interface (GUI) that includes a control;

receiving text instructions in a natural language that semantically describe at least two of a location, type, and allowed action of the control on the GUI and instruct an application being developed to perform a user interface (UI) event on the control;

executing the UI event on the control, and

testing primitives in the natural language to verify automation steps produce particular results using a natural language test.

2. The method of claim 1 further comprising:

receiving the text instructions as a set of natural language constructs; and

associating GUI semantics with the text instructions.

3. The method of claim 1 , wherein the text instructions include identification of GUI objects that include a button, a link, a text box, and a window.

4. The method of claim 1 , wherein the text instructions include actions of click, type, and move.

5. The method of claim 1 , wherein the text instructions include prepositions that describe relations between objects that include left, right above, and below.

6. The method of claim 1 further comprising, constructing a semantic hierarchy from a GUI representation that is one of an object model representation and an image representation.

7. The method of claim 1 further comprising, matching an action and object description to a semantic hierarchy.

8. The method of claim 1 further comprising:

receiving the texts instructions at an editor;

analyzing, by the editor, the text instructions to validate semantics assigned to the text instructions.

9. The method of claim 1 further comprising:

simulating the text instructions on the GUI; and

recording the text instructions as an automation step; and

replaying, on a display, the automation step.

10. A non-transitory computer readable storage medium having instructions for causing a computer to execute a method, comprising:

displaying a first page of an application being developed that includes an object;

receiving a text instruction in a natural language that semantically describes at least two of a location, type, and allowed action of the object on the first page and provides an instruction to execute on the object;

executing the instruction on the object to cause the application to display a second page, and

testing primitives in the natural language to verify automation steps produce particular results using a natural language test.

11. The non-transitory computer readable storage medium of claim 10 further comprising, executing the instruction to store language independent tests in a semantic representation.

12. The non-transitory computer readable storage medium of claim 10 further comprising:

receiving the text instruction in a dialogue box displayed on the first page;

executing the text instruction in a search box displayed on the first page.

13. The non-transitory computer readable storage medium of claim 10 , wherein the text instruction instructs an application to click on the object and navigate to a web page of a hyperlink associated with the object.

14. The non-transitory computer readable storage medium of claim 10 , wherein the text instruction provides a spatial relationship of the object with respect to another object being displayed on the first page.

15. The non-transitory computer readable storage medium of claim 10 further comprising, inferring a hierarchy of objects displayed on the first page by implementing one of image segmentation to locate components of a graphical user interface (GUI), object recognition to classify GUI components of interest, and hierarchical analysis using graph grammars to construct a hierarchy with correct semantics.

16. A computer system, comprising:

a display that displays a graphical user interface (GUI) with an object;

a memory storing instructions; and

a processor executing the instructions to:

receive a natural language text instruction that semantically describes at least two of a location, type, and allowed action of the object on the GUI and provides an instruction to execute on the object;

execute the instruction on the object, and

test primitives in the natural language test instruction to verify automation steps produce particular results using a natural language test.

17. The computer system of claim 16 , wherein the natural language text instruction is human spoken language.

18. The computer system of claim 16 , wherein the natural language text instruction includes prepositions that describe a spatial relation of the object with respect to the location on a web page being displayed.

19. The computer system of claim 16 , wherein the processor further executes the instructions to consult a thesaurus to determine a meaning of the natural language text instruction.

20. The computer system of claim 16 , wherein the natural language text instruction is independent of any particular natural language and enables users to provide instructions in various different languages.