A Review on Software Defect Prediction Models Based on Different Data Mining Techniques?

Software Reliability is becoming an essential attribute of any software system. It is a significant factor in software quality since it quantifies software failures. Software defect prediction models have gained considerable importance in achieving high software reliability. Software defect prediction model helps in early detection of faults and contribute to their efficient removal and producing a reliable software system. Empirical studies have been carried out and a number of approaches have been developed and proposed over the years, and many models have been proposed with different predictive capabilities and efficiency. This paper presents the survey on existing data mining techniques used for prediction of software defects. This paper will also introduce the concept of neural networks which is been considered as one of the promising technique for predictive models.