activity
20242026
most citedCross-System Categorization of Abnormal Traces in Microservice-Based Systems via Meta-Learning

2 citations · 2 across the 7 of their papers we have counts for

collaborators

7 papers

cs.SE2026

DJPlus: Generating minimal test suites for strong coverage criteria in graph models

Yavuz Köroğlu, Mutlu Beyazıt, Onur Kılınççeker +2

Automated test generation from graph models is essential to model-based testing. In this type of testing, graph coverage ensures test suite strength but also results in long test c…

cs.SE2026

RESTCov: A Tool for Structural Coverage Analysis of REST APIs

Tolgahan Bardakci, Serge Demeyer

REST APIs are widely used in modern software systems, but developers and testers often lack visibility into which parts of an API specification are exercised by a test suite. Tradi…

cs.SE2026

Mutation Testing of Simulink Cyber-Physical System Models: Challenges and Solutions in Practice

Murat Kavak, Onur Kilincceker, Serge Demeyer +2

Several experience reports illustrate that mutation testing is capable of supporting a shift-left testing strategy, especially in industries where late bug discovery incurs very hi…

cs.SE2025

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…

cs.SE2025

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…

cs.SE2025

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…

cs.SE2024★ 2 cited

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…