4 papers
Agentic LLMs for REST API Test Amplification: A Comparative Study Across Cloud Applications
Jarne Besjes, Robbe Nooyens, Tolgahan Bardakci +2
Representational State Transfer (REST) APIs are a cornerstone of modern cloud native systems. Ensuring their reliability demands automated test suites that exercise diverse and bou…
Test Amplification for REST APIs via Single and Multi-Agent LLM Systems
Robbe Nooyens, Tolgahan Bardakci, Mutlu Beyazit +1
REST APIs (Representational State Transfer Application Programming Interfaces) play a vital role in modern cloud-native applications. As these APIs grow in complexity and scale, en…
Test Amplification for REST APIs Using "Out-of-the-box" Large Language Models
Tolgahan Bardakci, Serge Demeyer, Mutlu Beyazit
REST APIs (Representational State Transfer Application Programming Interfaces) are an indispensable building block in today's cloud-native applications, so testing them is critical…
Cross-System Categorization of Abnormal Traces in Microservice-Based Systems via Meta-Learning
Yuqing Wang, Mika V. Mäntylä, Serge Demeyer +3
Microservice-based systems (MSS) may fail with various fault types. While existing AIOps methods excel at detecting abnormal traces and locating the responsible service(s), human e…