International Scientific Journal of Engineering and Management

An International Scholarly || Multidisciplinary || Open Access || Indexing in all major Database & Metadata
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ISSN: 2583-6129

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TestForgeAI – AI-Powered Test Case Generation System

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Published 25 April 2026
Updated 25 April 2026

TestForgeAI - AI-Powered Test Case Generation System

Authors:

Mrs. Saranya M1, Laksha K2, Mawiyah H3, Manisha K4

1,2,3,4 Information Technology, Sri Shakthi Institute of Engineering and Technology

Abstract - The concept and implementation of an AI-powered Auto Test Case Generator, which helps developers create efficient test cases from problem statements and source code, is shown in this project. A FastAPI-based AI engine that makes use of a big language model for intelligent analysis is integrated with a MERN stack to create the system. The suggested method creates thorough test cases that include normal, edge, boundary, and invalid scenarios after first interpreting the input, identifying constraints, and comprehending functionality. To further improve its usefulness, the system generates framework-specific unit test code, such as pytest, Jest, or JUnit. While a backend database preserves history for review and reuse, a user-friendly interface with contemporary UI components guarantees ease of interaction. The outcomes show increased software reliability, less manual labour, and improved test generating efficiency. This study demonstrates how AI may be used to improve development workflows and automate software testing procedures.

Key words: automation, MERN stack, software testing, test case creation, artificial intelligence, and FastAPI.

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