Text to Uml page

Text-UML is responsible for creating the visual UML graph from any textual notation of the class dictionary.

Members

Description

Class dictionaries provide compact representation of the class structure of any object oriented deign. However, a picture is worth thousand words, and it is generally easier to understand the structure if we are able to visualize it. We use the UML notation to represent this in the graphical form. So given a textual description of a class dictionary, we would like to automatically have its graphical form ready.
To this end, Text-Uml collaborates with ApStudio to convert this textual description into a graphical form.

Task List


Task	Description	Status
Graph Layout algorithms	Study genetic algorithms and simulated anealing	done
Web page	Maintain upto-date page for the project	Ongoing
Use Cases	Create the use cases for this project	done
Class dictionary	Create the class dictionary for text-uml conversion	done
Interaction with ApStudio	Interact with ApStudio group to keep upto date on all changes to their class dictionary	Ongoing
Read input and identify components	Identify the vertices and the edges for a given class dictionary	done
Create output object	Create the output object for a given class dictionary	done
Use graph layout algorithms	Use some algorithm for good placement of components on the graph	done
Integration testing	Check the compatibility with the ApStudio group	done

Updated December 3rd

Source

See it all here.

Use Cases

General

User specifies the file containing the class dictionary. The class dictionary is in flattenned form i.e. all the parameterized classes have been expanded.

The user can specify the number of steps through which the graph object placement algorithm iterates.

Test cases

Input a class dictionary file and print all the construction and alternation edges and vertices for it.

Input a class dictionary and print the list of vertices and edges in ApStudio notation, showing all vertex and edge details.

For the details missing here, contact me at binoy@ccs.neu.edu