Copertina

LLM4SZZ: Enhancing SZZ Algorithm with Context-Enhanced Assessment on Large Language Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Tang, Lingxiao, Liu, Jiakun, Liu, Zhongxin, Yang, Xiaohu, Bao, Lingfeng
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Software Engineering
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

WIA-SZZ: Work Item Aware SZZ
di: Perez-Rosero, Salomé, et al.
Pubblicazione: (2024)

MAS-SZZ: Multi-Agentic SZZ Algorithm for Vulnerability-Inducing Commit Identification
di: Cao, Sicong, et al.
Pubblicazione: (2026)

CodeReasoner: Enhancing the Code Reasoning Ability with Reinforcement Learning
di: Tang, Lingxiao, et al.
Pubblicazione: (2025)

AgentSZZ: Teaching the LLM Agent to Play Detective with Bug-Inducing Commits
di: Lyu, Yunbo, et al.
Pubblicazione: (2026)

Evaluating SZZ Implementations: An Empirical Study on the Linux Kernel
di: Lyu, Yunbo, et al.
Pubblicazione: (2023)

Instructive Code Retriever: Learn from Large Language Model's Feedback for Code Intelligence Tasks
di: Lu, Jiawei, et al.
Pubblicazione: (2024)

AgenticSZZ: Temporal Knowledge Graph-Guided Agentic Bug-Inducing Commit Identification
di: Shi, Yu, et al.
Pubblicazione: (2026)

Confident Learning-based Network for Detecting Bug-Inducing Commits on SZZ with Noisy Labels
di: Sun, Weihao, et al.
Pubblicazione: (2026)

SolContractEval: A Benchmark for Evaluating Contract-Level Solidity Code Generation
di: Ye, Zhifan, et al.
Pubblicazione: (2025)

An Iterative Test-and-Repair Framework for Competitive Code Generation
di: Tang, Lingxiao, et al.
Pubblicazione: (2026)

ExecVerify: White-Box RL with Verifiable Stepwise Rewards for Code Execution Reasoning
di: Tang, Lingxiao, et al.
Pubblicazione: (2026)

Towards Better Comprehension of Breaking Changes in the NPM Ecosystem
di: Kong, Dezhen, et al.
Pubblicazione: (2024)

UniCoR: Modality Collaboration for Robust Cross-Language Hybrid Code Retrieval
di: Yang, Yang, et al.
Pubblicazione: (2025)

Pre-training by Predicting Program Dependencies for Vulnerability Analysis Tasks
di: Liu, Zhongxin, et al.
Pubblicazione: (2024)

Unit Test Update through LLM-Driven Context Collection and Error-Type-Aware Refinement
di: Zhang, Yuanhe, et al.
Pubblicazione: (2025)

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

Exploring the Capabilities of LLMs for Code Change Related Tasks
di: Fan, Lishui, et al.
Pubblicazione: (2024)

Context-Enhanced Vulnerability Detection Based on Large Language Model
di: Yang, Yixin, et al.
Pubblicazione: (2025)

Agentic Software Issue Resolution with Large Language Models: A Survey
di: Jiang, Zhonghao, et al.
Pubblicazione: (2025)

From LLMs to Agents: A Comparative Evaluation of LLMs and LLM-based Agents in Security Patch Detection
di: Han, Junxiao, et al.
Pubblicazione: (2025)

LLM4EFFI: Leveraging Large Language Models to Enhance Code Efficiency and Correctness
di: Ye, Tong, et al.
Pubblicazione: (2025)

FlexFL: Flexible and Effective Fault Localization with Open-Source Large Language Models
di: Xu, Chuyang, et al.
Pubblicazione: (2024)

Self-Explained Keywords Empower Large Language Models for Code Generation
di: Fan, Lishui, et al.
Pubblicazione: (2024)

Zero-Shot Cross-Domain Code Search without Fine-Tuning
di: Liang, Keyu, et al.
Pubblicazione: (2025)

Adapting Knowledge Prompt Tuning for Enhanced Automated Program Repair
di: Cai, Xuemeng, et al.
Pubblicazione: (2025)

APIDocBooster: An Extract-Then-Abstract Framework Leveraging Large Language Models for Augmenting API Documentation
di: Yang, Chengran, et al.
Pubblicazione: (2023)

Improving the Ability of Pre-trained Language Model by Imparting Large Language Model's Experience
di: Yin, Xin, et al.
Pubblicazione: (2024)

Improving Retrieval-Augmented Code Comment Generation by Retrieving for Generation
di: Lu, Hanzhen, et al.
Pubblicazione: (2024)

Semantic-Enhanced Indirect Call Analysis with Large Language Models
di: Cheng, Baijun, et al.
Pubblicazione: (2024)

Are Human Rules Necessary? Generating Reusable APIs with CoT Reasoning and In-Context Learning
di: Mai, Yubo, et al.
Pubblicazione: (2024)

RustMap: Towards Project-Scale C-to-Rust Migration via Program Analysis and LLM
di: Cai, Xuemeng, et al.
Pubblicazione: (2025)

LAURA: Enhancing Code Review Generation with Context-Enriched Retrieval-Augmented LLM
di: Zhang, Yuxin, et al.
Pubblicazione: (2025)

Enhancing LLM's Ability to Generate More Repository-Aware Unit Tests Through Precise Contextual Information Injection
di: Yin, Xin, et al.
Pubblicazione: (2025)

TraceLLM: Leveraging Large Language Models with Prompt Engineering for Enhanced Requirements Traceability
di: Alturayeif, Nouf, et al.
Pubblicazione: (2026)

WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models
di: Fan, Shengda, et al.
Pubblicazione: (2024)

Are "Solved Issues" in SWE-bench Really Solved Correctly? An Empirical Study
di: Wang, You, et al.
Pubblicazione: (2025)

iCoRe: An Iterative Correlation-Aware Retriever for Bug Reproduction Test Generation
di: Wang, Junyi, et al.
Pubblicazione: (2026)

Names Are All You Need: Effective and Safe Regression Test Selection for Python
di: Wang, You, et al.
Pubblicazione: (2026)

PTM4Tag+: Tag Recommendation of Stack Overflow Posts with Pre-trained Models
di: He, Junda, et al.
Pubblicazione: (2024)

Enhancing Large Language Models for Text-to-Testcase Generation
di: Alagarsamy, Saranya, et al.
Pubblicazione: (2024)