A Review of Machine Learning Techniques for Software Quality Prediction

Successful implementation of a software product entirely depends on the quality of the software developed. However, prediction of the quality of a software product prior to its implementation in real-world applications presents significant challenges to the software developer during the process of development. A limited spectrum of research in this area has been reported in the literature as of today. Most of the researchers have concentrated their research work on software quality prediction using various machine learning techniques. Another aspect pertaining to software quality prediction is that the prediction must be achieved in the earlier stages of software development life cycle in order to reduce the amount of effort required by the developer in course of the development of a software product. In this paper, we carry out a comprehensive review of machine learning techniques which have been used to predict software quality.