1 citations · 1 across the 1 of their papers we have counts for
4 papers
Tangent: An Empirical Study of Testing Practices for LLM-Based Agent Applications
Rangeet Pan, Tyler Stennett, Divya Sankar +5
Agents built on large language models (LLMs) are increasingly used to build applications that perform complex, multi-step tasks involving reasoning, tool use, and interaction with…
AutoRestTest at the SBFT 2026 Tool Competition
Tyler Stennett, Myeongsoo Kim, Saurabh Sinha +1
Large input spaces and complex inter-operation dependencies make black-box REST API testing challenging. AutoRestTest combines a Semantic Property Dependency Graph, multi-agent rei…
AutoRestTest: A Tool for Automated REST API Testing Using LLMs and MARL
Tyler Stennett, Myeongsoo Kim, Saurabh Sinha +1
As REST APIs have become widespread in modern web services, comprehensive testing of these APIs is increasingly crucial. Because of the vast search space of operations, parameters,…
A Multi-Agent Approach for REST API Testing with Semantic Graphs and LLM-Driven Inputs
Myeongsoo Kim, Tyler Stennett, Saurabh Sinha +1
As modern web services increasingly rely on REST APIs, their thorough testing has become crucial. Furthermore, the advent of REST API documentation languages, such as the OpenAPI S…