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© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM56334

From Test Automation to Test Autonomy: The Evolution of QA in the Age of GenAI

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Paper ID:

10.55041/IJSREM56334

Volume:

10 |

2 |

Feb 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

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10.55041/IJSREM56334

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Harshit Dubey

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Abstract

Quality Assurance (QA) has evolved significantly over the last two decades, yet many organizations remain caught between manual testing and traditional automation. Even with Selenium, CI/CD pipelines, and cloud execution platforms, most test processes rely heavily on human effort for script creation, maintenance, triage, and reporting. Generative AI (GenAI) introduces a new frontier—GenAI-assisted testing, where AI supports testers in designing test cases, generating scripts, preparing test data, and summarizing defects. Looking ahead, Agentic AI enables Test Autonomy, where testing becomes goal-driven and self-directed. This paper explores the journey from manual testing to test autonomy, highlights key technologies, outlines benefits and risks, and proposes a practical roadmap for adoption.

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Cite This Article

Harshit Dubey, "From Test Automation to Test Autonomy: The Evolution of QA in the Age of GenAI," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 2, Feb 2026. https://doi.org/10.55041/IJSREM56334

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2/1/2026

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