Quality improvement of mobile apps – Tool-supported lightweight feedback analyses

Abstract

Mobile apps have penetrated the market and are used everywhere. The success of apps also depends on user feedback as this enables users to influence other potential customers and provides new opportunities for identifying features. An efficient development process including quality assurance is obligatory for app-developing companies. However, developers also face challenges, such as short time to market, many release cycles, or low budgets for quality assurance. Therefore, we present a lightweight approach that considers textual feedback from users and a corresponding tool chain. With this, quality can be monitored and development and quality assurance decisions for upcoming sprints can be made fast and easily. Furthermore, examples of such textual analyses show how the approach can provide information to improve apps.