:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Qin, Ruixin, Xiong, Yifan, Lu, Yifei, Pan, Minxue
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Software Engineering
Accesso online:	https://arxiv.org/abs/2409.20343
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Beyond Code Generation: Assessing Code LLM Maturity with Postconditions
di: He, Fusen, et al.
Pubblicazione: (2024)

ReF Decompile: Relabeling and Function Call Enhanced Decompile
di: Feng, Yunlong, et al.
Pubblicazione: (2025)

DecompileBench: A Comprehensive Benchmark for Evaluating Decompilers in Real-World Scenarios
di: Gao, Zeyu, et al.
Pubblicazione: (2025)

Is This the Same Code? A Comprehensive Study of Decompilation Techniques for WebAssembly Binaries
di: Wu, Wei-Cheng, et al.
Pubblicazione: (2024)

Superset Decompilation
di: Liu, Chang, et al.
Pubblicazione: (2026)

SK2Decompile: LLM-based Two-Phase Binary Decompilation from Skeleton to Skin
di: Tan, Hanzhuo, et al.
Pubblicazione: (2025)

Decompile-Bench: Million-Scale Binary-Source Function Pairs for Real-World Binary Decompilation
di: Tan, Hanzhuo, et al.
Pubblicazione: (2025)

Idioms: Neural Decompilation With Joint Code and Type Definition Prediction
di: Dramko, Luke, et al.
Pubblicazione: (2025)

Constraint-Guided Multi-Agent Decompilation for Executable Binary Recovery
di: Zhang, Yifan, et al.
Pubblicazione: (2026)

Demystifying Device-specific Compatibility Issues in Android Apps
di: Chen, Junfeng, et al.
Pubblicazione: (2024)

PCodeTrans: Translate Decompiled Pseudocode to Compilable and Executable Equivalent
di: Cui, Yuxin, et al.
Pubblicazione: (2026)

CodableLLM: Automating Decompiled and Source Code Mapping for LLM Dataset Generation
di: Manuel, Dylan, et al.
Pubblicazione: (2025)

Acknowledging Good Java Code with Code Perfumes
di: Straubinger, Philipp, et al.
Pubblicazione: (2024)

Self-Constructed Context Decompilation with Fined-grained Alignment Enhancement
di: Feng, Yunlong, et al.
Pubblicazione: (2024)

SALT4Decompile: Inferring Source-level Abstract Logic Tree for LLM-Based Binary Decompilation
di: Wang, Yongpan, et al.
Pubblicazione: (2025)

The CodeInverter Suite: Control-Flow and Data-Mapping Augmented Binary Decompilation with LLMs
di: Liu, Peipei, et al.
Pubblicazione: (2025)

SCRIBE: Practical Static Binary Patching via Binary-Aware Recompilation of Decompiled Code
di: Dai, Han, et al.
Pubblicazione: (2026)

SCDBench: A Benchmark for LLM-Based Smart Contract Decompilers
di: Qin, Kaihua, et al.
Pubblicazione: (2026)

TransLibEval: Demystify Large Language Models' Capability in Third-party Library-targeted Code Translation
di: Xue, Pengyu, et al.
Pubblicazione: (2025)

Serializing Java Objects in Plain Code
di: Wachter, Julian, et al.
Pubblicazione: (2024)

Detection of Technical Debt in Java Source Code
di: Hai, Nam Le, et al.
Pubblicazione: (2024)

WaDec: Decompiling WebAssembly Using Large Language Model
di: She, Xinyu, et al.
Pubblicazione: (2024)

CodeMMLU: A Multi-Task Benchmark for Assessing Code Understanding & Reasoning Capabilities of CodeLLMs
di: Manh, Dung Nguyen, et al.
Pubblicazione: (2024)

Demystifying Issues, Causes and Solutions in LLM Open-Source Projects
di: Cai, Yangxiao, et al.
Pubblicazione: (2024)

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

Demystifying Errors in LLM Reasoning Traces: An Empirical Study of Code Execution Simulation
di: Abdollahi, Mohammad, et al.
Pubblicazione: (2025)

Code Copycat Conundrum: Demystifying Repetition in LLM-based Code Generation
di: Liu, Mingwei, et al.
Pubblicazione: (2025)

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

JMigBench: A Benchmark for Evaluating LLMs on Source Code Migration (Java 8 to Java 11)
di: Amin, Nishil, et al.
Pubblicazione: (2026)

Demystifying Code Snippets in Code Reviews: A Study of the OpenStack and Qt Communities and A Practitioner Survey
di: Zhang, Beiqi, et al.
Pubblicazione: (2023)

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning
di: Zou, Muqi, et al.
Pubblicazione: (2025)

Engineering Pitfalls in AI Coding Tools: An Empirical Study of Bugs in Claude Code, Codex, and Gemini CLI
di: Zhang, Ruixin, et al.
Pubblicazione: (2026)

Assessing Code Understanding in LLMs
di: Laneve, Cosimo, et al.
Pubblicazione: (2025)

jscefr: A Framework to Evaluate the Code Proficiency for JavaScript
di: Ragkhitwetsagul, Chaiyong, et al.
Pubblicazione: (2024)

Scalable Thread-Safety Analysis of Java Classes with CodeQL
di: Jåtten, Bjørnar Haugstad, et al.
Pubblicazione: (2025)

ARAP: Demystifying Anti Runtime Analysis Code in Android Apps
di: Suo, Dewen, et al.
Pubblicazione: (2024)

FidelityGPT: Correcting Decompilation Distortions with Retrieval Augmented Generation
di: Zhou, Zhiping, et al.
Pubblicazione: (2025)

HELIOS: Hierarchical Graph Abstraction for Structure-Aware LLM Decompilation
di: Achamyeleh, Yonatan Gizachew, et al.
Pubblicazione: (2026)

Context-Guided Decompilation: A Step Towards Re-executability
di: Wang, Xiaohan, et al.
Pubblicazione: (2025)

Demystifying the DAO Governance Process
di: Ma, Junjie, et al.
Pubblicazione: (2024)