About BugScribe
Project Name Pronunciation: /bʌɡ skraɪb/ (Bug-Scribe)
BugScribe addresses the challenges of incomplete, invalid, and inconsistent bug reports by guiding users to produce high-quality, actionable reports with minimal effort. It combines automated capture of user interactions, intelligent analysis, and interactive guidance to ensure essential details are included and ambiguities are clarified.
By evaluating the quality of each report and suggesting improvements before submission, BugScribe reduces the likelihood of invalid or duplicate reports while integrating with popular bug tracking platforms to provide developers with structured, reliable, and reproducible bug reports.
Key Features
- AI-Assisted Bug Description Generation
- Automated Steps-to-Reproduce (S2R)
- Session Replay & Video Recording
- Conversational AI Agent
- Pre-Submission Invalid Bug Detection
- Duplicate Issue Finding
- Knowledge Base Integration
- Multi-Platform Bug Tracker Integration
Team Members
Project Supervisor
Project Information
Course & Academic Details
Course:
CS-491 Senior Design Project 1
Academic Year:
2025-2026 Fall
University:
Bilkent University
Department:
Computer Engineering