AI-Augmented Test Automation: Enhancing Test Execution with Generative AI and GPT-4 Turbo

Akhil Reddy Bairi (), Sarita Gahlot () and Ravi Kumar Kota ()

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, 2024, vol. 2, issue 1, 325-343

Abstract: The rapid evolution of software development necessitates efficient and intelligent testing strategies to ensure quality and reliability. AI-augmented test automation leverages generative AI models, such as GPT-4 Turbo, to enhance test execution by improving test case generation, automated debugging, and adaptive testing processes. This paper explores the integration of AI-driven automation into software testing workflows, highlighting its advantages in accelerating test execution, reducing manual effort, and increasing test coverage. Additionally, it discusses challenges such as AI-driven test validation, handling false positives, and ensuring reliability in AI-generated test scenarios. The findings underscore the transformative potential of AI in redefining test automation, making it more efficient and intelligent.

Keywords: AI-augmented testing; test automation; generative AI; GPT-4 Turbo; software testing; automated debugging; adaptive testing; test case generation; AI-driven quality assurance (search for similar items in EconPapers)
Date: 2024
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