4 citations · 4 across the 2 of their papers we have counts for
4 papers · 1 filter
Bridging Bug Localization and Issue Fixing: A Hierarchical Localization Framework Leveraging Large Language Models
Jianming Chang, Xin Zhou, Lulu Wang +2
Automated issue fixing is a critical task in software debugging and has recently garnered significant attention from academia and industry. However, existing fixing techniques pred…
A Comprehensive Evaluation of Parameter-Efficient Fine-Tuning on Code Smell Detection
Beiqi Zhang, Peng Liang, Xin Zhou +5
Automated code smell detection faces persistent challenges due to the subjectivity of heuristic rules and the limited performance of traditional ML/DL models. While Large Language…
Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead
Xin Zhou, Sicong Cao, Xiaobing Sun +1
The significant advancements in Large Language Models (LLMs) have resulted in their widespread adoption across various tasks within Software Engineering (SE), including vulnerabili…
Bridging Expert Knowledge with Deep Learning Techniques for Just-In-Time Defect Prediction
Xin Zhou, DongGyun Han, David Lo
Just-In-Time (JIT) defect prediction aims to automatically predict whether a commit is defective or not, and has been widely studied in recent years. In general, most studies can b…