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

Author

Listed:
  • Akhil Reddy Bairi
  • Sarita Gahlot
  • Ravi Kumar Kota

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.

Suggested Citation

  • Akhil Reddy Bairi & Sarita Gahlot & Ravi Kumar Kota, 2024. "AI-Augmented Test Automation: Enhancing Test Execution with Generative AI and GPT-4 Turbo," Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, Open Knowledge, vol. 2(1), pages 325-343.
    • Handle: RePEc:das:njaigs:v:2:y:2024:i:1:p:325-343:id:338
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