Virginia Tech LL Parsing
Recommendation |
Recommended |
||||
Link |
|||||
Delivery Method |
Java Application |
||||
License |
Unlicensed Sourcecode |
||||
Language |
English |
||||
Author |
Pavan Konanki; Gokulnath Kannan; Ajith Sowndararajan |
||||
Institution |
Virginia Tech |
||||
Project |
|||||
Works |
Yes |
||||
Description |
Demonstrates LL Parsing algorithm on some canned datasets. |
||||
Evaluation |
Given the complexity of the topic, this is a good visualization. For the given data sets, the user is taken through the major steps, showing the table contents for each term in the grammar as it is processed. This AV cannot stand on its own, as it does not give a tutorial on the LL parsing algorithm or its context. But it could be very helpful to students who have read about the algorithm and need to reinforce the textual description with a dynamic demonstration. |
||||
Step Control; Canned Data |
|||||
Lecture Aid; Self Study; Lab Exercise |
|||||
Screenshots |
|
||||
Videos |
|
||||
References |
|
||||
|
|||||
First Visited |
2008-06-30 |
||||
Last Visited |
2008-06-30 |
||||
Last Updated |
2008-05-05 |
||||
Topic |
|||||
Community |
|
||||
Edit |
You may edit this entry if you have an account. |
