SOFTWARE PREDICTIVE CLASSIFICATION USING RELATIONAL ASSOCIATION RULES AND NAIVE BAYES APPROACH

Abstract

1. ABSTRACT Software quality is taken into account to be of nice importance within the space of software system engineering and development. so as to extend the potency and also the quality of software system modules, software system defect prediction is employed to spot defect prone modules and this helps in achieving high software system responsibility. Software fault prediction is usually a posh space of analysis and software system practitioners and researchers have applied various ways that to predict wherever the fault is probably going to occur within the software system module and their variable degrees of success. These prediction studies ends up in fault prediction models and it permits software system personnel to target the defect free software system code, thereby leading to software system quality improvement and using the higher utility of the resources. During this Paper style Approach for software system Defect Prediction is adopted.