2025
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Predicting Security Bugs in Open-Source Projects: Lessons from Combining Bug Reports, Code, and Context
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A Multi-Agent Orchestration Framework Leveraging Open-Source Large Language Models for Automated Bug Resolution
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AgentReport++: Multi-Agent Fine-Tuning of Open LLMs for Practical Bug Report Generation in Open-Source Projects
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AgentLocate++: Structure-Aware Bug Localization in Open-Source Functions via Multi-Agent Coordination of Open LLMs
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LLMLoc: A Structure-Aware Retrieval System for Zero-Shot Bug Localization
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iAgentCMG: A Multi-Agent Expert System for Commit Message Generation via Autonomous Agent Collaboration
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AutoRepairX: An Autonomous Multi-Agent Expert System for AST-Guided Bug Fixing via Decentralized Reasoning
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AutoTestX++: Multi-Agent Orchestration for Coverage and Quality-Aware Test Case Generation with Open-Source LLMs
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멀티모달 LLM 기반 소프트웨어 버그 리포트 자동 생성: 코드, 로그, 스크린샷 및 사용자 상호작용 결합 접근
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Review
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Review
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Review
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Review
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Review
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Review
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Integrating Attention Mechanism with Code Structural Affinity and Execution Context Correlation for Automated Bug Repair
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Security Bug Report Classification via Cross-Project Similarity-Based Data Augmentation and Deep Learning Models
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Do Stop Words Matter in Bug Report Analysis? Empirical Findings Using Deep Learning Models across Duplicate, Severity, and Priority Classification
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유사 리포트 문맥 보강을 활용한 Retrieval-Augmented LLM 기반 버그 리포트 생성 기법
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LLM 기반 오픈소스 소프트웨어 결함 위치 추정을 위한 AST 보강 의미 기반 검색 기법
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Kubernetes 클러스터에서 리소스 제약이 etcd 성능에 미치는 영향
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Enhancing Bug Assignment with Developer-Specific Feature Extraction and Hybrid Deep Learning
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Leveraging Cross-Project Similarity for Data Augmentation and Security Bug Report Prediction
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LSTM Attention-Driven Similarity Learning for Effective Bug Localization
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Feature Learning via Correlation Analysis for Effective Duplicate Detection
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자료구조 및 알고리즘
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Enhanced Bug Priority Prediction via Priority-Sensitive Long Short-Term Memory–Attention Mechanism
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