Criteria for analyzing online traffic encountered in web and mobile applications in order to model an automated application testing system

Abstract

Over time, the evolution of technology has left its mark on our lives and has highlighted its need for and importance of all areas of activity, both social and economic. There is a global increase in the trend of automation of work processes and the use of software products more and more often in any type of activity to optimize and increase work capacity. The growth of e-commerce is one of the segments favored by the emergence and evolution of technology, allowing us to always be connected to market demand and supply. In order to improve e-commerce, we need to make sure that the software available to users is adjusted to their needs. In this paper, we propose a technique for analyzing the necessary criteria to develop an automatic testing system for web and mobile applications based on the analysis of user behavior and reports extracted from recorded online traffic. By trying to reproduce the real behavior of users in the testing process it can enhance the risk management and improve the quality of the delivered product.