collaborators

5 papers

cs.SE2025

Detection of Performance Changes in MooBench Results Using Nyrkiö on GitHub Actions

Shinhyung Yang, David Georg Reichelt, Henrik Ingo +1

In GitHub with its 518 million hosted projects, performance changes within these projects are highly relevant to the project's users. Although performance measurement is supported…

cs.SE2025

Interoperability From OpenTelemetry to Kieker: Demonstrated as Export from the Astronomy Shop

David Georg Reichelt, Shinhyung Yang, Wilhelm Hasselbring

The observability framework Kieker provides a range of analysis capabilities, but it is currently only able to instrument a smaller selection of languages and technologies, includi…

cs.SE2025

Dynamic and Static Analysis of Python Software with Kieker Including Reconstructed Architectures

Daphné Larrivain, Shinhyung Yang, Wilhelm Hasselbring

The Kieker observability framework is a tool that provides users with the means to design a custom observability pipeline for their application. Originally tailored for Java, suppo…

cs.SE2025

The Kieker Observability Framework Version 2

Shinhyung Yang, David Georg Reichelt, Reiner Jung +2

Observability of a software system aims at allowing its engineers and operators to keep the system robust and highly available. With this paper, we present the Kieker Observability…

cs.DC2024

Evaluating the Overhead of the Performance Profiler Cloudprofiler With MooBench

Shinhyung Yang, David Georg Reichelt, Wilhelm Hasselbring

Performance engineering has become crucial for the cloud-native architecture. This architecture deploys multiple services, with each service representing an orchestration of contai…