79 citations · 84 across the 13 of their papers we have counts for
14 papers
Teaching Agents to Code Reliably
Muhammad Ahmed Mohsin, Myeongsoo Kim, Kangrui Ruan +3
Autonomous coding agents solve repository issues by reading code, running commands, editing files, and submitting patches. Extra inference-time compute yields gains only when it pr…
CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents
Mingwei Zheng, David OBrien, Siwei Cui +4
LLM coding agents operate by constructing trajectories that accumulate reasoning, tool calls, and results to enable multi-step decision-making. However, the conventional append-onl…
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…
CODESTRUCT: Code Agents over Structured Action Spaces
Myeongsoo Kim, Joe Hsu, Dingmin Wang +3
LLM-based code agents treat repositories as unstructured text, applying edits through brittle string matching that frequently fails due to formatting drift or ambiguous patterns. W…
Coherence Collapse: Diagnosing Why Code Agents Fail After Reaching the Right Code
Myeongsoo Kim, Dingmin Wang, Siwei Cui +6
Code agents resolve 65-70% of SWE-bench Verified issues, but Pass@1 cannot tell us why the rest fail, and, as we show, capable-model failures are systematically misdiagnosed withou…
CodeAssistBench (CAB): Dataset & Benchmarking for Multi-turn Chat-Based Code Assistance
Myeongsoo Kim, Shweta Garg, Baishakhi Ray +2
Programming assistants powered by large language models have improved dramatically, yet existing benchmarks still evaluate them in narrow code-generation settings. Recent efforts s…
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,…
LlamaRestTest: Effective REST API Testing with Small Language Models
Myeongsoo Kim, Saurabh Sinha, Alessandro Orso
Modern web services rely heavily on REST APIs, typically documented using the OpenAPI specification. The widespread adoption of this standard has resulted in the development of man…
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…
ASTER: Natural and Multi-language Unit Test Generation with LLMs
Rangeet Pan, Myeongsoo Kim, Rahul Krishna +2
Implementing automated unit tests is an important but time-consuming activity in software development. To assist developers in this task, many techniques for automating unit test g…
Improving Program Debloating with 1-DU Chain Minimality
Myeongsoo Kim, Santosh Pande, Alessandro Orso
Modern software often struggles with bloat, leading to increased memory consumption and security vulnerabilities from unused code. In response, various program debloating technique…
Leveraging Large Language Models to Improve REST API Testing
Myeongsoo Kim, Tyler Stennett, Dhruv Shah +2
The widespread adoption of REST APIs, coupled with their growing complexity and size, has led to the need for automated REST API testing tools. Current tools focus on the structure…
Adaptive REST API Testing with Reinforcement Learning
Myeongsoo Kim, Saurabh Sinha, Alessandro Orso
Modern web services increasingly rely on REST APIs. Effectively testing these APIs is challenging due to the vast search space to be explored, which involves selecting API operatio…
Automated Test Generation for REST APIs: No Time to Rest Yet
Myeongsoo Kim, Qi Xin, Saurabh Sinha +1
Modern web services routinely provide REST APIs for clients to access their functionality. These APIs present unique challenges and opportunities for automated testing, driving the…