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Auflistung nach Autor:in "Gundlach, Sven"

1 - 3 von 3
  • Konferenzbeitrag
    Architecture Recovery from Fortran Code with Kieker
    (Softwaretechnik-Trends Band 43, Heft 1, 2023) Jung, Reiner; Schnoor, Henning; Gundlach, Sven; Hasselbring, Wilhelm
    Scientific models are software systems, which are key to understand and assess a range of challenges, such as climate change mitigation. However, such models are usually developed over decades. To support program comprehension for software maintenance and restructuring, we designed an architecture recovery process for Fortran-based scientific models utilizing Kieker 4 C to collect call traces at runtime. Furthermore, we derive structural information from the recovered architecture. In this paper, we present our analysis process and some results from analyzing three scientific models. Additionally, we describe how to use the information obtained by our analysis to identify possible optimizations of the scientific models.
  • Konferenzbeitrag
    Instrumenting Python with Kieker
    (Softwaretechnik-Trends Band 43, Heft 1, 2023) Simonov, Serafim; Düllmann, Thomas F.; Jung, Reiner; Gundlach, Sven
    Python has become a widely used programming language in big data, machine learning, and scientific modeling. In all these domains, performance is a key factor to success and requires the ability to understand the runtime behavior of software. Therefore, we ported Kieker monitoring to Python and evaluated different approaches to introduce probes into code. In this paper, we evaluate these approaches, show their benefits and limitations and provide a perfor mance evaluation of the Kieker 4 Python framework.
  • Zeitschriftenartikel
    Modularizing Earth system models for interactive simulation
    (Informatik Spektrum: Vol. 45, No. 5, 2022) Claus, Martin; Gundlach, Sven; Hasselbring, Wilhelm; Jung, Reiner; Rath, Willi; Schnoor, Henning
    Interactive exploration of Earth system simulations may have great potential to improve the scientific modeling process. It will allow monitoring of the state of the simulation via dashboards presenting real-time diagnostics within a digital twin world. We present the state of the art for Earth system modeling in this context. Cross-domain data handling and fusion will make it possible to integrate model and observation data in the context of digital twins of the ocean. Domain-driven modularization of monolithic Earth system models allows one to recover interfaces for such a cross-domain fusion. Reverse engineering with static and dynamic analysis enables modularization of Earth system models. The modularization does not only help with restructuring existing Earth system models, it also makes it possible to integrate additional scientific domains into the interactive simulation environment.