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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM56334
Volume:
10 |
2 |
Feb 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
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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Publication Date
2/1/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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