Dan Hao

MOCA: A Hierarchical Semantic-Enhanced Code Edit Framework for Multilingual Code Co-Evolution

Multilingual code co-evolution aims to propagate code edits across programming languages while preserving functional consistency, yet the task remains challenging in real-world repositories. Our motivating examples reveal two key challenges: (1) Existing models fail to infer the...

CausalRepair: Bridging the Causality Gap in Large Language Model-Based Automated Program Repair via Dual-Slicing

Automated Program Repair (APR) aims to automatically fix buggy programs. In recent years, with the rapid advancement of Large Language Models (LLMs), LLM-based APR techniques have achieved significant progress. Despite their potential, the effectiveness of LLMs relies heavily on...

LAMDA: Leveraging Large Language Models for Better API Misuse Detection via Multi-Agent Collaboration

Modern software development heavily relies on reusing third-party and internal Application Programming Interfaces (APIs). However, API misuses occur frequently, leading to program crashes, security vulnerabilities, and other unexpected behaviors. To detect API misuse, many existi...