Below, I will explain the experimental procedures I will follow, what types of data are collected, and how it will be evaluated. The format of the data, and an explanation of the attributes within the data will be detailed.

I will explore the classifiers mentioned in \chap{related} by applying them to software defect prediction. I will explore the data in two separate ways:
\bi
	\item Within Company
	\item Cross Company
\ei
I will also apply various relevancy filtering and clustering algorithms to the data, and observe the differences between applying the pre-processed data versus the original data to the classification algorithms. 
