ROLE OF DATA MINING CLASSIFICATION TECHNIQUE IN SOFTWARE DEFECT PREDICTION

Software defect prediction is the process of locating defective modules in software. Software quality may be a field of study and apply that describes the fascinating attributes of software package product. The performance should be excellent with none defects. Software quality metrics are a set of software package metrics that target the standard aspects of the product, process, and project. The software package defect prediction model helps in early detection of defects and contributes to their economical removal and manufacturing a top quality software package supported many metrics. The most objective of paper is to assist developers determine defects supported existing software package metrics victimization data mining techniques and thereby improve the software package quality. In this paper, role of various classification techniques in software defect prediction process are analyzed