3 papers
cs.SE2026
LLM-Based Repair of C++ Implicit Data Loss Compiler Warnings: An Industrial Case Study
Chansong You, Hyun Deok Choi, Jingun Hong
This paper presents a method to automatically fix implicit data loss warnings in large C++ projects using Large Language Models (LLMs). Our approach uses the Language Server Protoc…
cs.SE2025
Finding the Needle in the Crash Stack: Industrial-Scale Crash Root Cause Localization with AutoCrashFL
Sungmin Kang, Sumi Yun, Jingun Hong +2
Fault Localization (FL) aims to identify root causes of program failures. FL typically targets failures observed from test executions, and as such, often involves dynamic analyses…
cs.SE2025
Identifying Bug Inducing Commits by Combining Fault Localisation and Code Change Histories
Gabin An, Jinsu Choi, Jingun Hong +2
A Bug Inducing Commit (BIC) is a code change that introduces a bug into the codebase. Although the abnormal or unexpected behavior caused by the bug may not manifest immediately, i…