Imagen de Portada

Fault Localization from the Semantic Code Search Perspective

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Qin, Yihao, Wang, Shangwen, Lei, Yan, Zhang, Zhuo, Lin, Bo, Peng, Xin, Chen, Liqian, Mao, Xiaoguang
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

Keep It Simple: Towards Accurate Vulnerability Detection for Large Code Graphs
por: Peng, Xin, et al.
Publicado: (2024)

Give LLMs a Security Course: Securing Retrieval-Augmented Code Generation via Knowledge Injection
por: Lin, Bo, et al.
Publicado: (2025)

Smoke and Mirrors: Jailbreaking LLM-based Code Generation via Implicit Malicious Prompts
por: Ouyang, Sheng, et al.
Publicado: (2025)

Large Language Models-Aided Program Debloating
por: Lin, Bo, et al.
Publicado: (2025)

Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation
por: Lin, Bo, et al.
Publicado: (2025)

There are More Fish in the Sea: Automated Vulnerability Repair via Binary Templates
por: Lin, Bo, et al.
Publicado: (2024)

AgentFL: Scaling LLM-based Fault Localization to Project-Level Context
por: Qin, Yihao, et al.
Publicado: (2024)

Debug Like a Human: Scaling LLM-based Fault Localization to Processor Design via Block-Level Instruction-Oriented Slicing
por: Liu, Zizhen, et al.
Publicado: (2026)

Three Heads Are Better Than One: A Multi-perspective Reasoning Framework for Enhanced Vulnerability Detection
por: Peng, Xin, et al.
Publicado: (2026)

Atomizer: An LLM-based Collaborative Multi-Agent Framework for Intent-Driven Commit Untangling
por: Zhu, Kangchen, et al.
Publicado: (2026)

Large Language Models are Qualified Benchmark Builders: Rebuilding Pre-Training Datasets for Advancing Code Intelligence Tasks
por: Yang, Kang, et al.
Publicado: (2025)

Exploring the Security Threats of Retriever Backdoors in Retrieval-Augmented Code Generation
por: Li, Tian, et al.
Publicado: (2025)

SmartFL: Semantics Based Probabilistic Fault Localization
por: Wu, Yiqian, et al.
Publicado: (2025)

Principal Context-aware Diffusion Guided Data Augmentation for Fault Localization
por: Fu, Shihao, et al.
Publicado: (2025)

Shapley-Guided Neural Repair Approach via Derivative-Free Optimization
por: Sun, Xinyu, et al.
Publicado: (2026)

Impact of Large Language Models of Code on Fault Localization
por: Ji, Suhwan, et al.
Publicado: (2024)

Towards Better Graph Neural Network-based Fault Localization Through Enhanced Code Representation
por: Rafi, Md Nakhla, et al.
Publicado: (2024)

FGIT: Fault-Guided Fine-Tuning for Code Generation
por: Fan, Lishui, et al.
Publicado: (2025)

Studying the Impact of Early Test Termination Due to Assertion Failure on Code Coverage and Spectrum-based Fault Localization
por: Uddin, Md. Ashraf, et al.
Publicado: (2025)

You Augment Me: Exploring ChatGPT-based Data Augmentation for Semantic Code Search
por: Wang, Yanlin, et al.
Publicado: (2024)

Lares: LLM-driven Code Slice Semantic Search for Patch Presence Testing
por: Li, Siyuan, et al.
Publicado: (2025)

AdaptEval: A Benchmark for Evaluating Large Language Models on Code Snippet Adaptation
por: Zhang, Tanghaoran, et al.
Publicado: (2026)

Better Debugging: Combining Static Analysis and LLMs for Explainable Crashing Fault Localization
por: Yan, Jiwei, et al.
Publicado: (2024)

SBEST: Spectrum-Based Fault Localization Without Fault-Triggering Tests
por: Rafi, Md Nakhla, et al.
Publicado: (2024)

Demystifying Faulty Code with LLM: Step-by-Step Reasoning for Explainable Fault Localization
por: Widyasari, Ratnadira, et al.
Publicado: (2024)

VulWeaver: Weaving Broken Semantics for Grounded Vulnerability Detection
por: Cao, Yiheng, et al.
Publicado: (2026)

The Multi-Agent Fault Localization System Based on Monte Carlo Tree Search Approach
por: Ren, Rui
Publicado: (2025)

Coding in a Bubble? Evaluating LLMs in Resolving Context Adaptation Bugs During Code Adaptation
por: Zhang, Tanghaoran, et al.
Publicado: (2026)

Condor: A Code Discriminator Integrating General Semantics with Code Details
por: Liang, Qingyuan, et al.
Publicado: (2024)

BinEnhance: An Enhancement Framework Based on External Environment Semantics for Binary Code Search
por: Wang, Yongpan, et al.
Publicado: (2024)

When Neural Code Completion Models Size up the Situation: Attaining Cheaper and Faster Completion through Dynamic Model Inference
por: Sun, Zhensu, et al.
Publicado: (2024)

Similar Pattern Annotation via Retrieval Knowledge for LLM-Based Test Code Fault Localization
por: Gharachorlu, Golnaz, et al.
Publicado: (2026)

Don't Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems
por: Sun, Zhensu, et al.
Publicado: (2022)

RulER: Automated Rule-Based Semantic Error Localization and Repair for Code Translation
por: Jin, Shuo, et al.
Publicado: (2025)

FLIMs: Fault Localization Interference Mutants, Definition, Recognition and Mitigation
por: Liu, Hengyuan, et al.
Publicado: (2025)

RESTORE: Retrospective Fault Localization Enhancing Automated Program Repair
por: Xu, Tongtong, et al.
Publicado: (2019)

Improving Code Search with Hard Negative Sampling Based on Fine-tuning
por: Dong, Hande, et al.
Publicado: (2023)

Code Digital Twin: Empowering LLMs with Tacit Knowledge for Complex Software Development
por: Peng, Xin, et al.
Publicado: (2025)

Contextual Code Retrieval for Commit Message Generation: A Preliminary Study
por: Xiong, Bo, et al.
Publicado: (2025)

Efficient Black-Box Fault Localization for System-Level Test Code Using Large Language Models
por: Yaraghi, Ahmadreza Saboor, et al.
Publicado: (2025)