CHALLENGES AND ISSUES IN MOBILE APPLICATION TESTING

Authors

DOI:

https://doi.org/10.31891/2219-9365-2025-81-39

Keywords:

mobile applications, testing, automation, UX, fragmentation, performance, security, CI/CD, telemetry, AI/ML

Abstract

The article delves into the multifaceted challenges and practical issues that modern development teams routinely encounter during the testing of mobile applications. With the exponential growth of mobile technologies and the demand for high-quality apps, ensuring robust and effective testing strategies has become more critical than ever. This paper examines a wide range of obstacles that hinder mobile app testing, starting with the fragmentation of devices and operating systems—a factor that significantly complicates test planning and execution. Each OS version and hardware configuration can introduce unexpected behaviors, making test coverage and compatibility assurance a daunting task.
Special emphasis is placed on the intricacies of test automation, which, despite being essential for agile workflows and continuous delivery, often falls short due to the limitations of current tools and the dynamic nature of mobile environments. The article also explores challenges related to UX/UI testing, highlighting the importance of usability and visual consistency across diverse platforms.
The performance of mobile applications is analyzed from multiple angles, including memory usage, processing power limitations, and responsiveness under varying network conditions. Security remains a central concern, with focus on safeguarding data, ensuring secure authentication, and preventing unauthorized access.
In addition, the article presents a thorough review of testing frameworks such as Appium, Espresso, XCUITest, and integration tools suitable for Flutter and React Native. It explores how network latency, device hardware, and external APIs can influence stability and user experience. Stress testing techniques, log monitoring, and architectural evaluations are also covered.
A notable section is dedicated to the application of artificial intelligence and machine learning for intelligent test case selection, prioritization, and predictive bug detection. The article is enriched with comparative tables, visual charts, real code samples, and documented results from the integration of automated tests into CI/CD pipelines.
The findings and recommendations aim to provide practical guidance and valuable insights for both mobile application developers and QA professionals, contributing to the improvement of mobile app quality and user satisfaction.

Published

2025-02-27

How to Cite

SAVCHENKO Я., LEVCHENKO С., & YAROVYI Р. (2025). CHALLENGES AND ISSUES IN MOBILE APPLICATION TESTING. MEASURING AND COMPUTING DEVICES IN TECHNOLOGICAL PROCESSES, (1), 316–322. https://doi.org/10.31891/2219-9365-2025-81-39