From the 1 of 12 linked papers with an AI index.
12 papers
Effective and Efficient Context Retrieval via Partial Dependency Graph for Repository-Level Code Generation
Zhongxin Liu, Zhonghao Jiang, Zhifan Ye +3
LLM-based repository-level code generation aims to generate code using the context available in a software repository, requiring LLMs to reason over complex code dependencies. Due…
Graph Is the Verifier: Agentic Reinforcement Learning for Interprocedural Vulnerability Detection
Yikun Li, Ting Zhang, Jiakun Liu +9
The paper presents VulAgentRL, an agentic reinforcement learning framework that leverages code property graphs to collect interprocedural evidence and verify its own reasoning for…
Multi-level Code Optimization via Mixture of Prompts
Yun Peng, Jun Wan, Jiakun Liu +3
Runtime efficiency is a critical factor that impacts both software quality and user satisfaction. There are many approaches proposed for code optimization to improve runtime effici…
ATGBuilder: Feature-Assisted Graph Learning for Activity Transition Graph Construction with Seed Supervision
Chenhui Cui, Zixiang Xian, Danyu Li +5
Android applications are organized around activities that provide visual Graphical User Interface (GUI) containers that host the UI and handle user interaction events. Activity Tra…
Beyond the Tip of the Iceberg: Understanding SATD in Dockerfiles through the Lens of Co-evolution
Wei Minn, Yan Naing Tun, Biniam Fesseha Demissie +5
Dockerfiles enable the creation of portable container-based execution environments for the application code, and have become an important part of the modern software development pr…
MuMuTestUp: Mutation-based Multi-Agent Test Case Update
Dawei Tian, Jiakun Liu, Yun Peng +4
Modern software systems evolve rapidly under CI/CD practices, where tests are critical for quality. However, substantial code changes often render existing test cases obsolete, cau…