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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

QA as a predictive system: Modern methods of ensuring stability, compliance, and resilience of digital products

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  • QA as a predictive system: Modern methods of ensuring stability, compliance, and resilience of digital products

Kovalov Illia *

QA lead.

Review Article

World Journal of Advanced Research and Reviews, 2025, 26(01), 4246-4249

Article DOI: 10.30574/wjarr.2025.26.1.1141

DOI url: https://doi.org/10.30574/wjarr.2025.26.1.1141

Received on 25 February 2025; revised on 19 April 2025; accepted on 28 April 2025

The article examines modern QA methods as a tool for predictive analysis and increasing the resilience of digital systems.

Approaches to risk-oriented testing, defect prediction, multiplatform analysis, and compliance control of medical and high-load products with industry standards are analyzed. It is shown that QA engineering is developing as an analytical discipline and is becoming a key element of digital product management at the stages of design, development, and operation.

Software Quality; Predictive Testing; Risk Analysis; Regression Automation; HIPAA; FDA; Defectology; Platform Variability

https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-1141.pdf

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Kovalov Illia. QA as a predictive system: Modern methods of ensuring stability, compliance, and resilience of digital products. World Journal of Advanced Research and Reviews, 2025, 26(1), 4246-4249. Article DOI: https://doi.org/10.30574/wjarr.2025.26.1.1141

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.

All statements, opinions, and data contained in this publication are solely those of the individual author(s) and contributor(s). The journal, editors, reviewers, and publisher disclaim any responsibility or liability for the content, including accuracy, completeness, or any consequences arising from its use.

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