Software defect prediction is the process of developing models for software projects is helpful for reducing the effort in locating defects. Software defect prediction aids to improve testing resources allocation by detecting defect-prone modules prior to testing. There are various classification techniques used for predicting defects. Software defect prediction models are built based on a different set of metrics and defect data of previous software release. The main objective of this paper is to help developers to identify defects based on existing software metrics using classification techniques and there by improve the software quality.