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Abstract
In the field of software engineering, there are a number of prediction methods that are fault estimation, security estimation, effort estimation, correlation cost estimation, re-usability estimation, test effort estimation and quality estimation. These methods are helps to reduce the cost of testing which ultimately reduce the cost of the project. One of the most important stage is testing of software which reduces the defects of the software. Software defects are predicted by a software developers or testers at an early stage of software development life cycle and it reduces the overall time, cost and effort of the software development team. Nowadays, defect prediction methods are based on an adequate quantity of historic project data. Many researchers are using NASA’s PROMISE dataset to develop prediction techniques for various phases of software development. We use the dataset available for defect prediction.