SATORI: Static Test Oracle Generation for REST APIs
Fuente:
arXiv
Saved in:
| Main Authors: | Alonso, Juan C., Martin-Lopez, Alberto, Segura, Sergio, Bavota, Gabriele, Ruiz-Cortés, Antonio |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DeepREST: Automated Test Case Generation for REST APIs Exploiting Deep Reinforcement Learning
by: Corradini, Davide, et al.
Published: (2024)
by: Corradini, Davide, et al.
Published: (2024)
Enhancing Code Generation for Low-Resource Languages: No Silver Bullet
by: Giagnorio, Alessandro, et al.
Published: (2025)
by: Giagnorio, Alessandro, et al.
Published: (2025)
EMF-REST: Generation of RESTful APIs from Models
by: Ed-Douibi, Hamza, et al.
Published: (2015)
by: Ed-Douibi, Hamza, et al.
Published: (2015)
Dynamic Provisioning of REST APIs for Model Management
by: Tuyishime, Adiel, et al.
Published: (2024)
by: Tuyishime, Adiel, et al.
Published: (2024)
Why Personalizing Deep Learning-Based Code Completion Tools Matters
by: Giagnorio, Alessandro, et al.
Published: (2025)
by: Giagnorio, Alessandro, et al.
Published: (2025)
On the Generalizability of Deep Learning-based Code Completion Across Programming Language Versions
by: Ciniselli, Matteo, et al.
Published: (2024)
by: Ciniselli, Matteo, et al.
Published: (2024)
Test Amplification for REST APIs Using "Out-of-the-box" Large Language Models
by: Bardakci, Tolgahan, et al.
Published: (2025)
by: Bardakci, Tolgahan, et al.
Published: (2025)
Test Amplification for REST APIs via Single and Multi-Agent LLM Systems
by: Nooyens, Robbe, et al.
Published: (2025)
by: Nooyens, Robbe, et al.
Published: (2025)
Fuzzing REST APIs in Industry: Necessary Features and Open Problems
by: Arcuri, Andrea, et al.
Published: (2026)
by: Arcuri, Andrea, et al.
Published: (2026)
Automated Test-Case Generation for REST APIs Using Model Inference Search Heuristic
by: Cao, Clinton, et al.
Published: (2024)
by: Cao, Clinton, et al.
Published: (2024)
Automated Testing of Broken Authentication Vulnerabilities in Web APIs with AuthREST
by: Corradini, Davide, et al.
Published: (2025)
by: Corradini, Davide, et al.
Published: (2025)
A Framework for Testing and Adapting REST APIs as LLM Tools
by: Bandlamudi, Jayachandu, et al.
Published: (2025)
by: Bandlamudi, Jayachandu, et al.
Published: (2025)
Automating Code Review: A Systematic Literature Review
by: Tufano, Rosalia, et al.
Published: (2025)
by: Tufano, Rosalia, et al.
Published: (2025)
Generating REST API Tests With Descriptive Names
by: Garrett, Philip, et al.
Published: (2025)
by: Garrett, Philip, et al.
Published: (2025)
Improving Code Generation via Small Language Model-as-a-judge
by: Crupi, Giuseppe, et al.
Published: (2026)
by: Crupi, Giuseppe, et al.
Published: (2026)
From Static to Intelligent: Evolving SaaS Pricing with LLMs
by: Cavero, Francisco Javier, et al.
Published: (2025)
by: Cavero, Francisco Javier, et al.
Published: (2025)
Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information
by: Ciniselli, Matteo, et al.
Published: (2025)
by: Ciniselli, Matteo, et al.
Published: (2025)
SEART Data Hub: Streamlining Large-Scale Source Code Mining and Pre-Processing
by: Dabić, Ozren, et al.
Published: (2024)
by: Dabić, Ozren, et al.
Published: (2024)
Studying Quality Improvements Recommended via Manual and Automated Code Review
by: Crupi, Giuseppe, et al.
Published: (2026)
by: Crupi, Giuseppe, et al.
Published: (2026)
Pricing4APIs: A Rigorous Model for RESTful API Pricings
by: Fresno-Aranda, Rafael, et al.
Published: (2023)
by: Fresno-Aranda, Rafael, et al.
Published: (2023)
Deep Learning-based Code Reviews: A Paradigm Shift or a Double-Edged Sword?
by: Tufano, Rosalia, et al.
Published: (2024)
by: Tufano, Rosalia, et al.
Published: (2024)
Evaluating the Impact of Post-Training Quantization on Large Language Models for Code Generation
by: Giagnorio, Alessandro, et al.
Published: (2025)
by: Giagnorio, Alessandro, et al.
Published: (2025)
Assessing REST API Test Generation Strategies with Log Coverage
by: Reinikainen, Nana, et al.
Published: (2026)
by: Reinikainen, Nana, et al.
Published: (2026)
How the Training Procedure Impacts the Performance of Deep Learning-based Vulnerability Patching
by: Mastropaolo, Antonio, et al.
Published: (2024)
by: Mastropaolo, Antonio, et al.
Published: (2024)
On the Effectiveness of LLM-as-a-judge for Code Generation and Summarization
by: Crupi, Giuseppe, et al.
Published: (2025)
by: Crupi, Giuseppe, et al.
Published: (2025)
Quality In, Quality Out: Investigating Training Data's Role in AI Code Generation
by: Improta, Cristina, et al.
Published: (2025)
by: Improta, Cristina, et al.
Published: (2025)
Code Review Automation: Strengths and Weaknesses of the State of the Art
by: Tufano, Rosalia, et al.
Published: (2024)
by: Tufano, Rosalia, et al.
Published: (2024)
Tratto: A Neuro-Symbolic Approach to Deriving Axiomatic Test Oracles
by: Molinelli, Davide, et al.
Published: (2025)
by: Molinelli, Davide, et al.
Published: (2025)
On the Generalizability of Transformer Models to Code Completions of Different Lengths
by: Cooper, Nathan, et al.
Published: (2025)
by: Cooper, Nathan, et al.
Published: (2025)
You Can REST Now: Automated REST API Documentation and Testing via LLM-Assisted Request Mutations
by: Decrop, Alix, et al.
Published: (2024)
by: Decrop, Alix, et al.
Published: (2024)
Log-based, Business-aware REST API Testing
by: Yang, Ding, et al.
Published: (2026)
by: Yang, Ding, et al.
Published: (2026)
A Taxonomy of Self-Admitted Technical Debt in Deep Learning Systems
by: Pepe, Federica, et al.
Published: (2024)
by: Pepe, Federica, et al.
Published: (2024)
Leveraging Reward Models for Guiding Code Review Comment Generation
by: Sghaier, Oussama Ben, et al.
Published: (2025)
by: Sghaier, Oussama Ben, et al.
Published: (2025)
Reinforcement Learning-Based REST API Testing with Multi-Coverage
by: Nguyen, Tien-Quang, et al.
Published: (2024)
by: Nguyen, Tien-Quang, et al.
Published: (2024)
Leveraging Large Language Models to Improve REST API Testing
by: Kim, Myeongsoo, et al.
Published: (2023)
by: Kim, Myeongsoo, et al.
Published: (2023)
Developers and Generative AI: A Study of Self-Admitted Usage in Open Source Projects
by: Tufano, Rosalia, et al.
Published: (2026)
by: Tufano, Rosalia, et al.
Published: (2026)
Towards Summarizing Code Snippets Using Pre-Trained Transformers
by: Mastropaolo, Antonio, et al.
Published: (2024)
by: Mastropaolo, Antonio, et al.
Published: (2024)
Guidelines to Prompt Large Language Models for Code Generation: An Empirical Characterization
by: Midolo, Alessandro, et al.
Published: (2026)
by: Midolo, Alessandro, et al.
Published: (2026)
TOGLL: Correct and Strong Test Oracle Generation with LLMs
by: Hossain, Soneya Binta, et al.
Published: (2024)
by: Hossain, Soneya Binta, et al.
Published: (2024)
How do Copilot Suggestions Impact Developers' Frustration and Productivity?
by: Guglielmi, Emanuela, et al.
Published: (2025)
by: Guglielmi, Emanuela, et al.
Published: (2025)
Similar Items
-
DeepREST: Automated Test Case Generation for REST APIs Exploiting Deep Reinforcement Learning
by: Corradini, Davide, et al.
Published: (2024) -
Enhancing Code Generation for Low-Resource Languages: No Silver Bullet
by: Giagnorio, Alessandro, et al.
Published: (2025) -
EMF-REST: Generation of RESTful APIs from Models
by: Ed-Douibi, Hamza, et al.
Published: (2015) -
Dynamic Provisioning of REST APIs for Model Management
by: Tuyishime, Adiel, et al.
Published: (2024) -
Why Personalizing Deep Learning-Based Code Completion Tools Matters
by: Giagnorio, Alessandro, et al.
Published: (2025)