Defect Prediction for Object Oriented Software Using Support Vector Based Fuzzy Classification Model
In software development research, early prediction of defective software modules always attracts the developers because it can reduces the overall requirements of software development such as time and budgets and increases the customer satisfaction. In the current context, with constantly increasing constraints like requirement ambiguity and complex development process, developing fault free reliable software is a daunting task. To deliver reliable software, it is essential to execute exhaustive number of test cases which may become tedious and costly for software enterprises. To ameliorate the testing process, a defect prediction model can be used which enables the developers to distribute their quality assurance activity on defect prone modules. However, a defect prediction models requires empirical validation to ensure their relevance to a software enterprises.