Cover Image

FuzzTheREST: An Intelligent Automated Black-box RESTful API Fuzzer

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dias, Tiago, Maia, Eva, Praça, Isabel
Format:	Preprint
Published:	2024
Subjects:	Software Engineering Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SCoPE: Evaluating LLMs for Software Vulnerability Detection
by: Gonçalves, José, et al.
Published: (2024)

Constrained Adversarial Learning for Automated Software Testing: a literature review
by: Vitorino, João, et al.
Published: (2023)

MASTEST: A LLM-Based Multi-Agent System For RESTful API Tests
by: Han, Xiaoke, et al.
Published: (2025)

ToolFactory: Automating Tool Generation by Leveraging LLM to Understand REST API Documentations
by: Ni, Xinyi, et al.
Published: (2025)

Evaluating LLaMA 3.2 for Software Vulnerability Detection
by: Gonçalves, José, et al.
Published: (2025)

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

Automating REST API Postman Test Cases Using LLM
by: Sri, S Deepika, et al.
Published: (2024)

Combining TSL and LLM to Automate REST API Testing: A Comparative Study
by: Barradas, Thiago, et al.
Published: (2025)

Enhancing Large Language Models with Faster Code Preprocessing for Vulnerability Detection
by: Gonçalves, José, et al.
Published: (2025)

AutoRestTest: A Tool for Automated REST API Testing Using LLMs and MARL
by: Stennett, Tyler, et al.
Published: (2025)

WuppieFuzz: Coverage-Guided, Stateful REST API Fuzzing
by: Rooijakkers, Thomas, et al.
Published: (2025)

Causal Fuzzing for Verifying Machine Unlearning
by: Mazhar, Anna, et al.
Published: (2025)

On the Impact of Black-box Deployment Strategies for Edge AI on Latency and Model Performance
by: Singh, Jaskirat, et al.
Published: (2024)

Detecting and Mitigating Flakiness in REST API Fuzzing
by: Zhang, Man, et al.
Published: (2026)

LlamaRestTest: Effective REST API Testing with Small Language Models
by: Kim, Myeongsoo, et al.
Published: (2025)

A Multi-Agent Approach for REST API Testing with Semantic Graphs and LLM-Driven Inputs
by: Kim, Myeongsoo, et al.
Published: (2024)

A Comprehensive Framework for Evaluating API-oriented Code Generation in Large Language Models
by: Wu, Yixi, et al.
Published: (2024)

WFC/WFD: Web Fuzzing Commons, Dataset and Guidelines to Support Experimentation in REST API Fuzzing
by: Sahin, Omur, et al.
Published: (2025)

RESTestBench: A Benchmark for Evaluating the Effectiveness of LLM-Generated REST API Test Cases from NL Requirements
by: Kogler, Leon, et al.
Published: (2026)

EMF-REST: Generation of RESTful APIs from Models
by: Ed-Douibi, Hamza, et al.
Published: (2015)

Applying Large Language Models API to Issue Classification Problem
by: Aracena, Gabriel, et al.
Published: (2024)

APRIL: API Synthesis with Automatic Prompt Optimization and Reinforcement Learning
by: Zhong, Hua, et al.
Published: (2025)

Automating the Enterprise with Foundation Models
by: Wornow, Michael, et al.
Published: (2024)

ToolFuzz -- Automated Agent Tool Testing
by: Milev, Ivan, et al.
Published: (2025)

Automated Test-Case Generation for REST APIs Using Model Inference Search Heuristic
by: Cao, Clinton, et al.
Published: (2024)

Monitizer: Automating Design and Evaluation of Neural Network Monitors
by: Azeem, Muqsit, et al.
Published: (2024)

Automated Cloud Infrastructure-as-Code Reconciliation with AI Agents
by: Yang, Zhenning, et al.
Published: (2025)

Automating Code Adaptation for MLOps -- A Benchmarking Study on LLMs
by: Patel, Harsh, et al.
Published: (2024)

On the Impact of Code Comments for Automated Bug-Fixing: An Empirical Study
by: Vitale, Antonio, et al.
Published: (2026)

R-LAM: Reproducibility-Constrained Large Action Models for Scientific Workflow Automation
by: Sureshkumar, Suriya
Published: (2026)

PostTrainBench: Can LLM Agents Automate LLM Post-Training?
by: Rank, Ben, et al.
Published: (2026)

CONSTRUCTA: Automating Commercial Construction Schedules in Fabrication Facilities with Large Language Models
by: Zhang, Yifan, et al.
Published: (2025)

AIPC: Agent-Based Automation for AI Model Deployment with Qualcomm AI Runtime
by: Su, Jianhao, et al.
Published: (2026)

Imitation Game: Reproducing Deep Learning Bugs Leveraging an Intelligent Agent
by: Shah, Mehil B, et al.
Published: (2025)

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice
by: Li, Yuanpeng, et al.
Published: (2025)

Assessing Large Language Models for Automated Feedback Generation in Learning Programming Problem Solving
by: Silva, Priscylla, et al.
Published: (2025)

Automated Machine Learning: A Case Study on Non-Intrusive Appliance Load Monitoring
by: Moin, Armin, et al.
Published: (2022)

Explainable Artificial Intelligence Techniques for Software Development Lifecycle: A Phase-specific Survey
by: Arora, Lakshit, et al.
Published: (2025)

Towards Transparent and Accurate Diabetes Prediction Using Machine Learning and Explainable Artificial Intelligence
by: Khokhar, Pir Bakhsh, et al.
Published: (2025)

Fuzzwise: Intelligent Initial Corpus Generation for Fuzzing
by: Dhulipala, Hridya, et al.
Published: (2025)