Imagen de Portada

Defect Category Prediction Based on Multi-Source Domain Adaptation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Xing, Ying, Zhao, Mengci, Yang, Bin, Zhang, Yuwei, Li, Wenjin, Gu, Jiawei, Yuan, Jun
Formato:	Preprint
Publicado:	2024
Materias:	Software Engineering
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Automated Static Warning Identification via Path-based Semantic Representation
por: Zhang, Yuwei, et al.
Publicado: (2023)

STEAM: Simulating the InTeractive BEhavior of ProgrAMmers for Automatic Bug Fixing
por: Zhang, Yuwei, et al.
Publicado: (2023)

SAGA: Summarization-Guided Assert Statement Generation
por: Zhang, Yuwei, et al.
Publicado: (2023)

SemOpt: LLM-Driven Code Optimization via Rule-Based Analysis
por: Zhao, Yuwei, et al.
Publicado: (2025)

A Hybrid Sampling and Multi-Objective Optimization Approach for Enhanced Software Defect Prediction
por: Zhang, Jie, et al.
Publicado: (2024)

PATCH: Empowering Large Language Model with Programmer-Intent Guidance and Collaborative-Behavior Simulation for Automatic Bug Fixing
por: Zhang, Yuwei, et al.
Publicado: (2025)

Temac: Multi-Agent Collaboration for Automated Web GUI Testing
por: Liu, Chenxu, et al.
Publicado: (2025)

CXXCrafter: An LLM-Based Agent for Automated C/C++ Open Source Software Building
por: Yu, Zhengmin, et al.
Publicado: (2025)

An Empirical Study on JIT Defect Prediction Based on BERT-style Model
por: Guo, Yuxiang, et al.
Publicado: (2024)

DepRadar: Agentic Coordination for Context Aware Defect Impact Analysis in Deep Learning Libraries
por: Gao, Yi, et al.
Publicado: (2026)

Building Defect Prediction Models by Online Learning Considering Defect Overlooking
por: Fedorov, Nikolay, et al.
Publicado: (2024)

Enhancing Function Name Prediction using Votes-Based Name Tokenization and Multi-Task Learning
por: Zhang, Xiaoling, et al.
Publicado: (2024)

Better Knowledge Enhancement for Privacy-Preserving Cross-Project Defect Prediction
por: Wang, Yuying, et al.
Publicado: (2024)

On Evaluating the Efficiency of Source Code Generated by LLMs
por: Niu, Changan, et al.
Publicado: (2024)

An Empirical Study of Interaction Smells in Multi-Turn Human-LLM Collaborative Code Generation
por: Zhang, Binquan, et al.
Publicado: (2026)

The Impact of Defect (Re) Prediction on Software Testing
por: Murakami, Yukasa, et al.
Publicado: (2024)

When Shared Worlds Break: Demystifying Defects in Multi-User Extended Reality Software Systems
por: Li, Shuqing, et al.
Publicado: (2025)

LogiAgent: Automated Logical Testing for REST Systems with LLM-Based Multi-Agents
por: Zhang, Ke, et al.
Publicado: (2025)

CITYWALK: Enhancing LLM-Based C++ Unit Test Generation via Project-Dependency Awareness and Language-Specific Knowledge
por: Zhang, Yuwei, et al.
Publicado: (2025)

An Empirical Study on Automatically Detecting AI-Generated Source Code: How Far Are We?
por: Suh, Hyunjae, et al.
Publicado: (2024)

Just-In-Time Software Defect Prediction via Bi-modal Change Representation Learning
por: Jiang, Yuze, et al.
Publicado: (2024)

Cascade Generalization-based Classifiers for Software Defect Prediction
por: Bashir, Aminat, et al.
Publicado: (2024)

An Audit of Machine Learning Experiments on Software Defect Prediction
por: Destefanis, Giuseppe, et al.
Publicado: (2026)

Enhanced LLM-Based Framework for Predicting Null Pointer Dereference in Source Code
por: Sultan, Md. Fahim, et al.
Publicado: (2024)

Comment Traps: How Defective Commented-out Code Augment Defects in AI-Assisted Code Generation
por: Huang, Yuan, et al.
Publicado: (2025)

Understanding Open Source Contributor Profiles in Popular Machine Learning Libraries
por: Liu, Jiawen, et al.
Publicado: (2024)

LogUpdater: Automated Detection and Repair of Specific Defects in Logging Statements
por: Zhong, Renyi, et al.
Publicado: (2024)

Cross-Domain Deep Code Search with Meta Learning
por: Chai, Yitian, et al.
Publicado: (2022)

CodeImprove: Program Adaptation for Deep Code Models
por: Rathnasuriya, Ravishka, et al.
Publicado: (2025)

Ensemble-Based Uncertainty Estimation for Code Correctness Estimation
por: Wei, Yunxiang, et al.
Publicado: (2026)

Unseen-Codebases-Domain Data Synthesis and Training Based on Code Graphs
por: Ou, Guangsheng, et al.
Publicado: (2026)

Critical Considerations on Effort-aware Software Defect Prediction Metrics
por: Lavazza, Luigi, et al.
Publicado: (2025)

A Joint Learning Framework for Bridging Defect Prediction and Interpretation
por: Xu, Guifang, et al.
Publicado: (2025)

LIDL: LLM Integration Defect Localization via Knowledge Graph-Enhanced Multi-Agent Analysis
por: Tan, Gou, et al.
Publicado: (2026)

Automatic Multi-level Feature Tree Construction for Domain-Specific Reusable Artifacts Management
por: Jin, Dongming, et al.
Publicado: (2025)

Refactoring $\neq$ Bug-Inducing: Improving Defect Prediction with Code Change Tactics Analysis
por: Niu, Feifei, et al.
Publicado: (2025)

Analyzing C/C++ Library Migrations at the Package-level: Prevalence, Domains, Targets and Rationals across Seven Package Management Tools
por: Gu, Haiqiao, et al.
Publicado: (2025)

Proactive Detection of GUI Defects in Multi-Window Scenarios via Multimodal Reasoning
por: Zhang, Xinyao, et al.
Publicado: (2026)

On the Effectiveness of Large Language Models in Domain-Specific Code Generation
por: Gu, Xiaodong, et al.
Publicado: (2023)

Will It Break in Production? Metric-Driven Prediction of Residual Defects in Python Systems
por: De Rosa, Giuseppe, et al.
Publicado: (2026)