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eISSN: 2581-9615 || CODEN (USA): WJARAI || Impact Factor: 8.2 || ISSN Approved Journal

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://journalwjarr.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(01), 4246–4249. Article DOI: https://doi.org/10.30574/wjarr.2025.26.1.1141.

Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0

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