4 papers
Impossible to hide secret ...: Uncovering Security and Privacy Issues in LLM-native IDEs
Mostafijur Rahman Akhond, Md Afif Al Mamun, Gias Uddin +1
LLM-native IDEs (Integrated Development Environments), aka LIDEs, are designed from the ground up to work with Large Language Models (LLMs). LIDEs have found remarkable success in…
BLAgent: Agentic RAG for File-Level Bug Localization
Md Afif Al Mamun, Gias Uddin
Bug localization remains a key bottleneck for large language model (LLM)-based software maintenance, where accurately identifying faulty code is essential for debugging, root cause…
Stack Trace-Based Crash Deduplication with Transformer Adaptation
Md Afif Al Mamun, Gias Uddin, Lan Xia +1
Automated crash reporting systems generate large volumes of duplicate reports, overwhelming issue-tracking systems and increasing developer workload. Traditional stack trace-based…
TriagerX: Dual Transformers for Bug Triaging Tasks with Content and Interaction Based Rankings
Md Afif Al Mamun, Gias Uddin, Lan Xia +1
Pretrained Language Models or PLMs are transformer-based architectures that can be used in bug triaging tasks. PLMs can better capture token semantics than traditional Machine Lear…