Predicting performance of software systems during feasibility study of software project management

Software performance is an important nonfunctional attribute of software systems for producing quality software. Performance issues must be considered throughout software project development. Predicting performance early in the life cycle is addressed by many methodologies, but the data collected during feasibility study not considered for predicting performance. In this paper, we consider the data collected (technical and environmental factors) during feasibility study of software project management to predict performance. We derive an algorithm to predict the performance metrics and simulate the results using a case study on banking application.