A quantitative Learning Model for Software Test Process

Abstract

Learning through experience shows improvement in productivity. Many models and approaches related to learning or experience curve have been established and successfully applied to the traditional industries. This paper investigates the learning process and extends the idea of improvement through learning to software test processes. A novel quantitative learning model for software life cycle is proposed and compared with the existing learning models. An existing formal software test process model is modified to include effects of learning based on the developed learning model. Finally, the extended quantitative software test process model is applied to several industrial software test projects to validate the improved prediction capabilities of the model.