In this chapter, I have explored three different methods of adding locality to the classification process. Although each of these methods should improve the classification performance, I have shown that each set of results violates the primary tenant of locality:
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By removing non-relevant data, classification performance should improve.
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In the next chapter, I will examine these results, and give our recommendations. Next I will look at the state and benefit of locality when used for software defect prediction. I will also examine what future research is needed for software defect prediction.
