REVIEWING THE ROLE OF ARTIFICIAL INTELLIGENCE  IN MOBILE APP CREATION

Đoàn Ngọc Phương; Nguyễn Thu Phương; Nguyễn Thị Dung

doi:10.34238/tnu-jst.12946

REVIEWING THE ROLE OF ARTIFICIAL INTELLIGENCE IN MOBILE APP CREATION

About this article

Received: 31/05/25 Revised: 30/06/25 Published: 30/06/25

Authors

1. Doan Ngoc Phuong , TNU - University of Information and Communication Technology
2. Nguyen Thu Phuong, TNU - University of Information and Communication Technology
3. Nguyen Thi Dung, TNU - University of Information and Communication Technology

Abstract

Recent breakthroughs in generative artificial intelligence have turned this technology into the primary engine of mobile app development. Through a combined bibliometric analysis and a PRISMA 2020 review of 56 studies (from January 2020 to May 2025), we surveyed publication years, publisher distribution and keyword co-occurrence networks to redraw the field’s development. From there, we identified ten critical gaps, among which the most notable are the lack of artificial intelligence driven user interface testing frameworks and the scarcity of high quality multisensory UI/UX datasets that record visual, tactile and gaze data simultaneously. To address these challenges, two research trends have emerged: prompt engineering, which fine tunes input instructions for large language models, and few shot learning, which enables models to generalize from very few examples. Building on these findings, we propose six future research directions: (1) develop diverse multisensory UI/UX datasets; (2) integrate end to end artificial intelligence testing pipelines; (3) optimize prompts for interface generation; (4) design modular cross platform code architectures; (5) embed explainable artificial intelligence mechanisms in generated interfaces; and (6) deploy large scale quality assurance as a service via automated cloud-based pipelines. These steps lay out a clear roadmap for both academia and practice to advance artificial intelligence driven mobile app creation.

Keywords

AI-powered mobile-app creation; Bibliometric analysis; Systematic review; Generative AI; PRISMA

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DOI: https://doi.org/10.34238/tnu-jst.12946

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