AI-Driven Testing: Revolutionizing Mobile App Deployment Reliability
Year: 2025
Type: article
Abstract: Integrating Artificial Intelligence in mobile app testing represents a transformative advancement in software quality assurance. As applications grow in complexity, traditional testing methods face increasing challenges in maintaining comprehensive coverage and efficiency. AI-powered solutions offer enhanced capabilities in automated test generation, natural language processing, and predictive analytics, enabling more thorough and efficient testing processes. These innovations extend across unit testing, functional testing, and visual regression testing while addressing key challenges in test maintenance and execution. The implementation of AI testing solutions, combined with proper human oversight and ethical considerations, demonstrates significant potential in improving testing reliability, reducing maintenance efforts, and ensuring robust mobile app deployments.
Author: Sandeep Kolla
Institution: The University of Texas at Dallas
Language: English
Subfield: Software
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7082283659
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