5 citations · 9 across the 9 of their papers we have counts for
3 papers · 1 filter
Revisiting Code Debloating with Ground Truth-based Evaluation
Muhammad Bilal, Moiz Ali, Mohit Kumar +4
Program debloating aims to remove unused code to reduce performance overhead, attack surfaces, and maintenance costs. Over time, debloating has evolved across multiple layers (cont…
AI-Generated Code Is Not Reproducible (Yet): An Empirical Study of Dependency Gaps in LLM-Based Coding Agents
Bhanu Prakash Vangala, Ali Adibifar, Ashish Gehani +1
The rise of Large Language Models (LLMs) as coding agents promises to accelerate software development, but their impact on generated code reproducibility remains largely unexplored…
SoK: Software Debloating Landscape and Future Directions
Mohannad Alhanahnah, Yazan Boshmaf, Ashish Gehani
Software debloating seeks to mitigate security risks and improve performance by eliminating unnecessary code. In recent years, a plethora of debloating tools have been developed, c…