This research introduces a hierarchical localization framework that significantly improves automated bug fixing by enhancing the critical first step: accurately identifying where bugs exist.

• Addresses a key gap in current approaches that focus mainly on repair while overlooking precise bug localization
• Leverages Large Language Models to create a more effective end-to-end debugging pipeline
• Demonstrates how better localization directly translates to more successful bug fixes

For engineering teams, this framework represents a promising advancement that could dramatically improve debugging efficiency, reduce development costs, and enhance software quality through more accurate automated repair systems.

Bridging Bug Localization and Issue Fixing: A Hierarchical Localization Framework Leveraging Large Language Models