Bug Connector Proposal

The proposal describes an initiative to create a public dataset using publically available Common Vulnerabilities and Exposures (CVE) information. The major purpose is to compile complete data points from multiple sources, add to the dataset, and make it publicly available. The proposal identifies obstacles in correlating commit IDs to CVEs and proposes using timing analysis, NLP approaches, and real-time monitoring to address these issues. The project is separated into two stages: collecting data for existing commits and CVEs and making the system real-time. The implementation strategy involves data collection, correlation algorithm creation, integration of NLP techniques and offline LLM models, and real-time system installation. The deliverables include a comprehensive CVE dataset, correlation techniques, NLP integration, and a real-time monitoring system.