mlsanityData to 7 Oct 2026

Testing RESTful APIs: A Survey

arXiv 2212.14604 ↗First posted 30 Dec 2022cs.SEcited by 11

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Abstract (arXiv)

In industry, RESTful APIs are widely used to build modern Cloud Applications. Testing them is challenging, because not only they rely on network communications, but also they deal with external services like databases. Therefore, there has been a large amount of research sprout in recent years on how to automatically verify this kind of web services. In this paper, we review the current state-of-the-art on testing RESTful APIs, based on an analysis of 92 scientific articles. This review categories and summarizes the existing scientific work on this topic, and discusses the current challenges in the verification of RESTful APIs.

Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). First posted on arXiv 30 Dec 2022.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 2; 2025: 7; 2026: 2.

11 papers.

  1. 2024A Multi-Agent Approach for REST API Testing with Semantic Graphs and LLM-Driven Inputscited by 9
  2. 2025Automating a Complete Software Test Process Using LLMs: An Automotive Case Studycited by 8
  3. 2025LlamaRestTest: Effective REST API Testing with Small Language Modelscited by 4
  4. 2025AutoRestTest: A Tool for Automated REST API Testing Using LLMs and MARLcited by 3
  5. 2025Combining TSL and LLM to Automate REST API Testing: A Comparative Studycited by 3
  6. 2024Generative transformations and patterns in LLM-native approaches for software verification and falsificationcited by 2
  7. 2025Evaluating LLMs on Sequential API Call Through Automated Test Generationcited by 2
  8. 2025Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmapcited by 0
  9. 2025MASTEST: A LLM-Based Multi-Agent System For RESTful API Testscited by 0
  10. 2026Multi-Agent LLM-based Metamorphic Testing for REST APIscited by 0
  11. 2026Mining Workflow Graphs for Black-Box Boundary Testing of Conversational LLM Agentscited by 0