File	Date	Author	Commit
.settings	2016-05-13	Daniel San Martín	[4904e2] Initial commit
META-INF	2016-05-13	Daniel San Martín	[4904e2] Initial commit
bin	2016-05-17	dsanmartins	[0c2edd] We add a logger to register the java annotation
files	2016-05-13	Daniel San Martín	[4904e2] Initial commit
images	2016-05-13	Daniel San Martín	[4904e2] Initial commit
lib	2016-05-13	Daniel San Martín	[4904e2] Initial commit
src	2016-05-17	dsanmartins	[0c2edd] We add a logger to register the java annotation
.classpath	2016-05-13	Daniel San Martín	[4904e2] Initial commit
.project	2016-05-13	Daniel San Martín	[4904e2] Initial commit
QuerySetKDM.querySet	2016-05-13	Daniel San Martín	[4904e2] Initial commit
README	2016-05-13	Daniel San Martín	[ffc8e3] Readme updated
build.properties	2016-05-13	Daniel San Martín	[4904e2] Initial commit
plugin.xml	2016-05-13	Daniel San Martín	[4904e2] Initial commit

Read Me

This is a eclipse plug-in for the eclipse june version. The main ideia of this project is discovering concerns into KDM (Knowledge Discovery Metamodel) instances. 
In order to perform the discovery, the plug-in do two tasks. The firts one checks APIs used by the application by means a concern library. The second one enable a K-means algorithm which calculates the levenshtein distance between strings (strings discovered in the first task with all strings of the system used to name class methods and attributes). After these tasks, the KDM instance is tagged with the concern. 

Main technologies used in this project:

- Java language (Main language)
- Xquery (BaseX) (xmi and xml query language)
- Apache Derby (embededd database)
- Groovy (some operations over xmi and xml files)