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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM60734
Volume:
10 |
4 |
April 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
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
Publication Date
4/20/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
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