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     2026:7/2

International Journal of Multidisciplinary Research and Growth Evaluation

ISSN: (Print) | 2582-7138 (Online) | Impact Factor: 9.54 | Open Access

AI Test Design and Script Generator: Enhancing Software Testing through AI-driven Automation

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Abstract

The evolution of software testing has led to the adoption of AI-driven tools to optimize the efficiency, accuracy, and coverage of test case generation. This paper introduces an AI Test Design and Script Generator, a cutting-edge solution that automates requirement and document reviews, enhances test coverage through generative AI, and ensures secure segmentation of customers, organizations, and departments. Unlike traditional automation tools, this AI-driven approach integrates with private Large Language Models (LLMs), providing intelligent test generation without collecting personal or sensitive data. By leveraging AI for test case design, this tool allows business analysts and QA professionals to quickly assess risks, generate optimized test cases, and streamline testing efforts. This paper explores the challenges of traditional test case creation, the role of AI in overcoming these limitations, and the key benefits of AI-driven testing in enterprise environments.

How to Cite This Article

Jagan Mohan Rao Doddapaneni (2025). AI Test Design and Script Generator: Enhancing Software Testing through AI-driven Automation . International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE), 6(1), 1942-1943. DOI: https://doi.org/10.54660/.IJMRGE.2025.6.1.1942-1943

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