Full Article: PDF
Scientific Object Identifier: http://s-o-i.org/1.1/TAS-05-133-32
DOI: https://dx.doi.org/10.15863/TAS.2024.05.133.32
Language: English
Citation: Shaikhulov, E. A. (2024). AI as an ally or a threat: challenges and prospects for QA engineers. ISJ Theoretical & Applied Science, 05 (133), 161-165. Soi: http://s-o-i.org/1.1/TAS-05-133-32 Doi: https://dx.doi.org/10.15863/TAS.2024.05.133.32 |
Pages: 161-165
Published: 30.05.2024
Abstract: This article examines the impact of artificial intelligence (AI) on quality assurance (QA) processes in software engineering, highlighting its role as both an ally and a potential threat. AI, used for test automation, enhances the efficiency and accuracy of QA but also introduces risks associated with job reduction and ethical issues. The main part of the article focuses on analyzing examples from the practices of major companies such as Microsoft, Alibaba, and Google, demonstrating successful applications of AI in improving QA processes. At the same time, cases where the implementation of AI led to failures are considered, emphasizing the importance of thorough testing and adaptation of AI systems.
Key words: artificial intelligence, AI, quality assurance, QA, software testing, test automation, ethical considerations, AI integration, risk management.
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