Enhancing Bug Report Classification Using Large Language Models

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This presentation provides an in-depth exploration of security bug reporting, emphasizing the role of Large Language Models (LLMs) in enhancing classification accuracy. We discuss current limitations in misclassifying reports and the potential of LLMs like ChatGPT and Gemini in understanding contextual nuances across diverse datasets. By examining methods from GitHub, JIRA, and Bugzilla, the study aims to demonstrate the superiority of LLMs over traditional techniques in cross-project...