ABSTRACT
In modern scenario the IT industries are investing much capital on software quality testing. Software testing phase of software development life cycle provide the defects details to the software developer. The proposed model is capable to predict the defect before going to the software testing phase. It also minimize the time and cost of the project. In this paper object oriented defected dataset ANT 1.7 has been used which is provided by the PROMISE (Predict or Models in Software Engineering) repository of empirical software engineering data. In these data sets the metrics and bug are freely available to the researchers publically. The main objective of this work is to calculate the accuracy and performance of the proposed software bug prediction model based on different techniques.
