JOURNAL ARTICLE

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

Jagan Mohan Rao Doddapaneni

Year: 2025 Journal:   International Journal of Multidisciplinary Research and Growth Evaluation Vol: 6 (1)Pages: 1942-1943

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.

Keywords:
Automation Computer science Test (biology) Generator (circuit theory) Software engineering Software testing Software Engineering Programming language Mechanical engineering Biology Physics

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Topics

Software Testing and Debugging Techniques
Physical Sciences →  Computer Science →  Software
Scientific Computing and Data Management
Social Sciences →  Decision Sciences →  Information Systems and Management
Robotics and Automated Systems
Physical Sciences →  Engineering →  Control and Systems Engineering

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