Defect Prediction and Analysis Using ODC Approach in a Web Application

In software project management, there are five basic factors to predict and control, those are size, process, effort, environment and quality. Most of the software engineers focus on these factors to improve the software quality. In practice quality management implies finding defects and rectifying them. Software defects are not well enough understood to provide a clear methodology for avoiding or recovering from them. Most of the research related to software quality focuses on modeling the residual defects in the software to estimate software reliability. Software project management need to be improved in order to predict other possible information about software quality such as in-process defects, their type, classify the defects into a group and so on. Currently software engineers still don’t have a complete defect prediction technique for any kind of software product. This paper provides a new approach for predicting the defects and classification of defects based on project characteristics in the early life cycle phases. Using Orthogonal Defect Classification (ODC) ([4], [5]) approach we will see how the current proposed methods are used to improve and realize the quality in development and test environments in a web application.