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ALBA: a model-driven framework for the automatic generation of android location-based apps.

Mohammadali Gharaat¹, Mohammadreza Sharbaf¹, Bahman Zamani¹

¹MDSE Research Group, Department of Software Engineering, University of Isfahan, Isfahan, Iran.

Automated Software Engineering

|April 16, 2024

Summary

This summary is machine-generated.

This study introduces ALBA, a framework for automatically generating Android location-based mobile apps using a model-driven approach. ALBA simplifies app development, proving effective and producing high-quality applications.

Keywords:

Automated software engineering Domain specific language Location-based android apps Model-driven software engineering Software engineering for mobile apps

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Area of Science:

Software Engineering
Mobile Application Development
Geospatial Technology

Background:

The proliferation of smartphone users drives demand for mobile applications.
Location-based services are a significant category of mobile apps.
Developers require efficient tools for rapid mobile app generation.

Purpose of the Study:

To propose a model-driven approach for the automatic generation of Android location-based mobile apps.
To introduce the ALBA (Android Location-Based Apps) framework.
To facilitate app development for novice designers.

Main Methods:

Development of a domain-specific modeling language.
Implementation of a modeling tool with validation constraints.
Integration of a plugin for model-to-code transformations.
Automatic generation of Android code from models.

Main Results:

The ALBA framework demonstrated generalizability through the generation of four industrial location-based apps.
A case study involving three experiments evaluated the framework's usability and the generated apps' quality.
Evaluation results indicate promising applicability and quality of the generated apps.

Conclusions:

The ALBA framework offers an effective solution for the automatic generation of Android location-based mobile apps.
The model-driven approach streamlines development, making it accessible to novice designers.
The framework shows potential for improving efficiency and quality in mobile app development.