Copertina

Helping LLMs Improve Code Generation Using Feedback from Testing and Static Analysis

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Dolcetti, Greta, Arceri, Vincenzo, Iotti, Eleonora, Maffeis, Sergio, Cortesi, Agostino, Zaffanella, Enea
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Software Engineering Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Twinning automata and regular expressions for string static analysis
di: Negrini, Luca, et al.
Pubblicazione: (2020)

SEER: Sustainability Enhanced Engineering of Software Requirements
di: Roy, Mandira, et al.
Pubblicazione: (2025)

Are LLMs Ready for TOON? Benchmarking Structural Correctness-Sustainability Trade-offs in Novel Structured Output Formats
di: Masciari, Elio, et al.
Pubblicazione: (2026)

Tarsis: An effective automata‐based abstract domain for string analysis
di: Luca Negrini, et al.
Pubblicazione: (2024)

APIRL: Deep Reinforcement Learning for REST API Fuzzing
di: Foley, Myles, et al.
Pubblicazione: (2024)

CoRe: Benchmarking LLMs Code Reasoning Capabilities through Static Analysis Tasks
di: Xie, Danning, et al.
Pubblicazione: (2025)

Static Program Analysis Guided LLM Based Unit Test Generation
di: Roychowdhury, Sujoy, et al.
Pubblicazione: (2025)

AutoSafeCoder: A Multi-Agent Framework for Securing LLM Code Generation through Static Analysis and Fuzz Testing
di: Nunez, Ana, et al.
Pubblicazione: (2024)

ReCatcher: Towards LLMs Regression Testing for Code Generation
di: Abbassi, Altaf Allah, et al.
Pubblicazione: (2025)

Beyond Execution: Static-Analysis Rewards and Hint-Conditioned Diffusion RL for Code Generation
di: Ouyang, Shuyin, et al.
Pubblicazione: (2026)

Using a Feedback Loop for LLM-based Infrastructure as Code Generation
di: Palavalli, Mayur Amarnath, et al.
Pubblicazione: (2024)

Do Code LLMs Do Static Analysis?
di: Su, Chia-Yi, et al.
Pubblicazione: (2025)

Static Analysis as a Feedback Loop: Enhancing LLM-Generated Code Beyond Correctness
di: Blyth, Scott, et al.
Pubblicazione: (2025)

Chain of Targeted Verification Questions to Improve the Reliability of Code Generated by LLMs
di: Ngassom, Sylvain Kouemo, et al.
Pubblicazione: (2024)

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements
di: Abtahi, Seyed Moein, et al.
Pubblicazione: (2025)

DSTC: Direct Preference Learning with Only Self-Generated Tests and Code to Improve Code LMs
di: Liu, Zhihan, et al.
Pubblicazione: (2024)

Blue Teaming Function-Calling Agents
di: Dolcetti, Greta, et al.
Pubblicazione: (2026)

Towards a Taxonomy of Sustainability Requirements for Software Design
di: Roy, Mandira, et al.
Pubblicazione: (2025)

Combining Large Language Models with Static Analyzers for Code Review Generation
di: Jaoua, Imen, et al.
Pubblicazione: (2025)

$\mathbb{USCD}$: Improving Code Generation of LLMs by Uncertainty-Aware Selective Contrastive Decoding
di: Wang, Shuai, et al.
Pubblicazione: (2024)

ZeroFalse: Improving Precision in Static Analysis with LLMs
di: Iranmanesh, Mohsen, et al.
Pubblicazione: (2025)

Can LLM Generate Regression Tests for Software Commits?
di: Liu, Jing, et al.
Pubblicazione: (2025)

Klear-CodeTest: Scalable Test Case Generation for Code Reinforcement Learning
di: Fu, Jia, et al.
Pubblicazione: (2025)

Analysis on LLMs Performance for Code Summarization
di: Akib, Md. Ahnaf, et al.
Pubblicazione: (2024)

Using an LLM to Help With Code Understanding
di: Nam, Daye, et al.
Pubblicazione: (2023)

Test-Driven Development for Code Generation
di: Mathews, Noble Saji, et al.
Pubblicazione: (2024)

Mutation-based Consistency Testing for Evaluating the Code Understanding Capability of LLMs
di: Li, Ziyu, et al.
Pubblicazione: (2024)

TREAT: A Code LLMs Trustworthiness / Reliability Evaluation and Testing Framework
di: Gao, Shuzheng, et al.
Pubblicazione: (2025)

Evaluating the Energy-Efficiency of the Code Generated by LLMs
di: Islam, Md Arman, et al.
Pubblicazione: (2025)

From Static to Intelligent: Evolving SaaS Pricing with LLMs
di: Cavero, Francisco Javier, et al.
Pubblicazione: (2025)

CASTLE: Benchmarking Dataset for Static Code Analyzers and LLMs towards CWE Detection
di: Dubniczky, Richard A., et al.
Pubblicazione: (2025)

LLMs as Continuous Learners: Improving the Reproduction of Defective Code in Software Issues
di: Lin, Yalan, et al.
Pubblicazione: (2024)

Improving Code Generation by Training with Natural Language Feedback
di: Chen, Angelica, et al.
Pubblicazione: (2023)

Static Code Analysis with CodeChecker
di: Horvath, Gabor, et al.
Pubblicazione: (2024)

LLMs for Test Input Generation for Semantic Caches
di: Rasool, Zafaryab, et al.
Pubblicazione: (2024)

A Controlled Experiment on the Energy Efficiency of the Source Code Generated by Code Llama
di: Cursaru, Vlad-Andrei, et al.
Pubblicazione: (2024)

DynamicsLLM: a Dynamic Analysis-based Tool for Generating Intelligent Execution Traces Using LLMs to Detect Android Behavioural Code Smells
di: Cherief, Houcine Abdelkader, et al.
Pubblicazione: (2026)

Revisit Self-Debugging with Self-Generated Tests for Code Generation
di: Chen, Xiancai, et al.
Pubblicazione: (2025)

LLMs for Science: Usage for Code Generation and Data Analysis
di: Nejjar, Mohamed, et al.
Pubblicazione: (2023)

Implementing and Executing Static Analysis Using LLVM and CodeChecker
di: Horvath, Gabor, et al.
Pubblicazione: (2024)