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AI in Software Testing: Enhancing Testing Frameworks with Artificial Intelligence

Ankit Kumar Sablaniya, Pragya Bharti, Deepti Sharma

Abstract


Software testing plays a crucial role in ensuring the quality and reliability of software systems. Traditional testing methods, while effective, often require significant time and manual effort, making them prone to human error. The integration of Artificial Intelligence (AI) into software testing presents a ground breaking solution by automating test case generation, execution, and defect detection. This paper explores how AI-driven automated testing frameworks are transforming the software development lifecycle, highlighting key technologies, their benefits, and real-world applications. Additionally, we analyse challenges, limitations, and future trends in AI-powered testing frameworks to provide a comprehensive understanding of the evolving landscape of software testing.


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References


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