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cs.SE2025
LAMeD: LLM-generated Annotations for Memory Leak Detection
Ekaterina Shemetova, Ilya Shenbin, Ivan Smirnov +5
Static analysis tools are widely used to detect software bugs and vulnerabilities but often struggle with scalability and efficiency in complex codebases. Traditional approaches re…
cs.SE2022★ 1 cited
All You Need Is Logs: Improving Code Completion by Learning from Anonymous IDE Usage Logs
Vitaliy Bibaev, Alexey Kalina, Vadim Lomshakov +4
In this work, we propose an approach for collecting completion usage logs from the users in an IDE and using them to train a machine learning based model for ranking completion can…