Description
You are required to implement a way to manage a Table/Dictionary, with operations on that ADT specified in the
interface Dictionary.java. The Table stores Strings, referenced by SortableStrings (Strings that implement the
Sortable interface). Your implementation should internally use a Binary Search Tree (BST). The trees in turn are
to be implemented using references.
The course cuLearn page provides you a source file DictionaryTest.java with the main routine that instantiates a
dictionary and invokes the methods defined in the interface Dictionary to add and deletes entries, print the tree,
search for entries, and to print the depth of the underlying binary tree. The course cuLearn page also provides the
interface definition Dictionary.java. You have to provide an implementation of BSTDictionary, which implement
this interface. To get you started, the course page also provides source files for the Sortable interface and the
SortableString class, as well as the source for a BSTNode.
Binary Search Trees are described in the textbook in Section 11.3, starting on page 551 (2nd edition) or page 594
(3rd edition). Note that unlike the discussion in the textbook, the Dictionary interface manages a table where the
search key of type K is a separate data item from the entry of type E (with both being stored in a tree node). Also,
the key type K is not of type KeyedItem but has to implement/extend the interface Sortable.
Bonus part (For the champions! No marks allocated):
Implement Table/Dictionary with AVL trees. AVL trees are discussed in the textbook in Section 13.1, starting at
page 689/page 700. We will only discuss them briefly in class. A more in-depth description of AVL trees is
available at http://en.wikipedia.org/wiki/AVL_tree. The class AVLDictionary should build and maintain a
balanced binary search tree. To get you started on this part, the course website provides the source for a class
AVLNode. To test and compare the two different dictionary implementations, use the
DictionaryAdvancedTest.java source file. When running the main routine, you should be able to verify that the
depth of the AVL tree is significantly less than the depth of the BST tree.
Note: the TA(s) will test your submission by using multiple dictionaries in parallel. For example, if you only
implemented the BSTDictionary, they will use the DictionaryAdvancedTest program with your implementation of
the BSTDictionary and the sample solution for the AVLDictionary. As discussed in the comments in
DictionaryAdvancedTest, while the trees may have differing depths, the printTree() method should properly
generate a sorted output of a tree with all elements. And since both trees will have the same add and delete
operations applied to them, the search for specific entries should yield the same results (i.e., a specific entry either
exists in both dictionaries or in none).
Submission Requirements: Submit your assignment (the source files) using cuLearn. Your program should
compile and run as is in the default lab environment, and the code should be well documented. Submit all files
without using any archive or compression as separate files. Submit your solution by providing the source files for
BSTDictionary and other auxiliary classes. When combined with the source files provided on cuLearn, your
submission should compile and run as is, and the code should be well documented.
Marks will be based on:
• Completeness of your submission
• Correct solution to the problem
• Following good coding style
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• Sufficient and high-quality in-line comments
• Adhering to the submission requirements (in particular the naming convention)
The due date is based on the time of the cuLearn server and will be strictly enforced. If you are concerned about
missing the deadline, here is a tip: multiple submissions are allowed. So you can always submit a (partial)
solution early, and resubmit an improved solution later. This way, you will reduce the risk of running late, for
whatever reason (slow computers/networks, unsynchronized clocks, failure of the Internet connection at home,
etc.).
In cuLearn, you can manage the submission until the deadline, taking it back, deleting/adding files, etc, and
resubmitting it. The system also provides online feedback whether you submitted something for an assignment. It
may take a while to learn the submission process, so I would encourage you to experiment with it early and
contact the TA(s) in case you have problems, as only assignments properly and timely submitted using cuLearn
will be marked and will earn you assignment credits.
