Quantitative software quality/reliability prediction based on project management data for waterfall and agile development paradigms

Software development productivity and product quality are related to quality of the software development process. Therefore, if we can improve quality of software development process based on project management technologies, software development productivity and product quality will be increased. In this paper, we conduct a multivariate analysis by using process measurement data, and derive a relational expression based on statistically significant factors, which can quantitatively predict final product quality/reliability. Furthermore, we apply a method of collaborative filtering by using process measurement data to predict final product quality from the similarity of software projects. Finally, we compare the results of two methods, i.e., multiple regression analysis and collaborative filtering, in terms of predictive accuracy of final product quality/reliability.