AI-Driven Testing: Revolutionizing Mobile App Deployment Reliability
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.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-09-19
- DOI
- https://doi.org/10.5281/zenodo.17162219
- Primary Topic
- Geochemistry and Geologic Mapping
- Type
- article
- Field-Weighted Citation Impact
- 0.00