9 papers
Leveraging LLM-Based Agentic Systems to Generate Quantum Applications for Test Optimization
Ming Tao, Yuechen Li, Tao Yue +2
Quantum computing is increasingly explored for software engineering (SE) optimization, but translating natural-language (NL) task-level requirements into executable quantum applica…
Agentic Generation and Evolution of Knowledge Models
Man Zhang, Tao Yue, Nazareno M. Aguirre +2
Complex software systems such as autonomous vehicles, robotics increasingly interact with dynamic physical, cyber, and social environments. Reasoning about their behavior, maintain…
Ising-based Test Optimization and Benchmarking
Yige Yang, Man Zhang, Tao Yue
Test optimization contains test case selection and minimization, which is an important challenge in software testing and has been addressed with search-based approaches intensively…
Detecting and Mitigating Flakiness in REST API Fuzzing
Man Zhang, Chongyang Shen, Andrea Arcuri +1
Test flakiness is a common problem in industry, which hinders the reliability of automated build and testing workflows. Most existing research on test flakiness has primarily focus…
Fuzzing Microservices in Face of Intrinsic Uncertainties
Man Zhang, Tao Yue, Andrea Arcuri
The widespread adoption of microservices has fundamentally transformed how modern software systems are designed, deployed, operated and maintained. However, well-known microservice…
Managing Uncertainty in LLM-based Multi-Agent System Operation
Man Zhang, Tao Yue, Yihua He
Applying LLM-based multi-agent software systems in safety-critical domains such as lifespan echocardiography introduces system-level risks that cannot be addressed by improving mod…