Mobile app development is one of the areas of software engineering that has seen important growth in recent years (Clement 2019), due to the increasing number of smartphones. The results of the evaluation are promising both in terms of the applicability of the framework and the quality of the generated apps. Second, to evaluate the usability and quality of both the framework and the generated apps, we conducted a case study consists of three experiments. First, to evaluate the generalizability of the ALBA framework, we conducted an experiment which includes the generation of four industrial location-based apps. The designer uses the plugin to generate the Android code of the app. The model is validated against the predefined constraints and the editor prevents creating invalid models. The modeling tool enables a novice designer to model a location-based app. Our framework, called ALBA, consists of a domain-specific modeling language, a modeling tool, and a plugin which includes model to code transformations. In this paper, we propose a model-driven approach for the automatic generation of Android location-based mobile apps. Many of these apps are location-based apps in which users receive services based on their geographical location. Due to the significant demand for mobile apps, developers often seek faster development methods and more effective tools and techniques to generate these apps. These users download millions of apps and use them for various services. In recent years, the number of smartphone users has increased dramatically.
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