Manipulating large-scale data in software reliability studies

Abstract

Availability of information is abundant in this modern world due to the developments taking place in this ICT field. Drawing inference from such data requires the development of new methodologies. Dimensionality reduction with less amount of loss of information can be considered as one of the suitable solutions to this issue. This paper proposes a statistical methodology to reduce the dimension of the data with less amount of loss of information. The procedure was hierarchical Clustering method and extraction of principal components analysis. Applications of the methodology are illustrated with a data set.