Software Quality Prediction Using Machine Learning Application

Abstract

Machine learning is one of the applications of AI which enables analysis of massive quantities of data. While it generally delivers quicker, more precise results in order to recognize profitable opportunities or hazardous risks, it may also entail additional time and resources to train it appropriately. This paper presents the survey of machine learning application in the development of software quality. Development of software quality becomes more important in real world scenario but lots of work done by various author for this. In this we discuss various machine learning techniques such as Bayesian classifier, Neural Network, decision tree and genetic algorithm etc. which helps the researchers for the better prediction of software quality.