- Automating the transformation of unstructured codebase data into structured, analyzable datasets. - Uncovering valuable insights into the evolution of the Linux kernel's eBPF subsystem, validated by domain experts. - Proposing a versatile methodology applicable to other large-scale software projects.
By leveraging LLMs, the paper demonstrates how to address challenges in understanding software evolution, feature interdependencies, and design decisions efficiently.