AI - ASSISTED BUG TRACKING AND MANAGEMENT SYSTEM
Sasikala P
Assistant Professor
Department of computer science
Sri Shakthi Institute of
Engineering and technology
Coimbatore, India
sasikalapcse@srishakthi.ac.in
Mahalakshmi K
Department of computer science
Sri Shakthi Institute of
Engineering and technology
Coimbatore, India
mahalakshmik22cse@srishakthi.ac.in
Paruthiya R
Department of computer science
Sri Shakthi Institute of
Engineering and technology
Coimbatore, India
paruthiyar22cse@srishakthi.ac.in
ABSTRACT - The AI-Assisted Bug Tracking and Management System is an intelligent, full-stack software solution designed to modernize and automate the process of identifying, tracking, prioritizing, and resolving software defects through the integration of artificial intelligence and scalable web technologies. Built using a robust technology stack including React 18, Vite, Node.js, Express.js, FastAPI, and MongoDB, the system delivers a secure, responsive, and high-performance platform for efficient bug lifecycle management. The architecture follows a modular microservices-inspired design, where a Node.js + Express backend manages core application logic,powered by FastAPI handles intelligent bug analysis, classification, and recommendation workflowsThe frontend, developed with React 18 and enhanced using Tailwind CSS and React Router, delivers a responsive and intuitive interface for seamless team collaboration. Real-time notifications are powered by Socket.IO, while secure authentication is enforced using JWT-based role-based access control.By combining AI-driven insights with modern DevOps practices and a highly interactive and The AI-Assisted Bug Tracking and Management System enhances developer productivity, and improves overall software quality through intelligent automation and seamless collaboration.
Keywords:
AI-Based Bug Tracking, Bug Classification, Real-Time Tracking, Automated Prioritization, Defect Management, Socket.IO, MERN Stack, Role-Based Access Control, JWT Authentication, Natural Language Processing, Duplicate Detection.
