4 papers
ReDef: Do Code Language Models Truly Understand Code Changes for Just-in-Time Software Defect Prediction?
Doha Nam, Taehyoun Kim, Duksan Ryu +1
Just-in-Time software defect prediction (JIT-SDP) plays a critical role in prioritizing risky code changes during code review and continuous integration. However, existing datasets…
Deep Synthetic Cross-Project Approaches for Software Reliability Growth Modeling
Taehyoun Kim, Duksan Ryu, Jongmoon Baik
Software Reliability Growth Models (SRGMs) are widely used to predict software reliability based on defect discovery data collected during testing or operational phases. However, t…
Retrieval-Augmented Code Review Comment Generation
Hyunsun Hong, Jongmoon Baik
Automated code review comment generation (RCG) aims to assist developers by automatically producing natural language feedback for code changes. Existing approaches are primarily ei…
Improving LLM-Based Fault Localization with External Memory and Project Context
Inseok Yeo, Duksan Ryu, Jongmoon Baik
Fault localization, the process of identifying the software components responsible for failures, is essential but often time-consuming. Recent advances in Large Language Models (LL…