News
| Oct 02, 2024 | Kieker 2.0.0 released On September 22, 2024, we released version 2.0.0 of our Kieker framework for application performance monitoring and dynamic software analysis. |
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| Jun 03, 2024 | New journal paper on digital twin formalization New paper in the journal IEEE AccessBarbie, Alexander, Wilhelm Hasselbring. 2024. “From Digital Twins to Digital Twin Prototypes: Concepts, Formalization, and Applications” IEEE Access, vol. 12, pp. 75337-75365, 2024, doi: https://doi.org/10.1109/ACCESS.2024.3406510 AbstractThe transformation to Industry 4.0 also transforms the processes of developing intelligent manufacturing production systems. Digital twins may be employed to advance the development of these new (embedded) software systems. However, there is no consensual definition of what a digital twin is. In this paper, we provide an overview of the current state of the digital twin concept and formalize the digital twin concept using the Object-Z notation. This formalization includes the concepts of physical twins, digital models, digital templates, digital threads, digital shadows, digital twins, and digital twin prototypes. The relationships between all these concepts are visualized as class diagrams using the Unified Modeling Language. Our digital twin prototype approach supports engineers in the development and automated testing of complex embedded software systems. This approach enables engineers to test embedded software systems in a virtual context without the need of a connection to a physical object. In continuous integration/continuous deployment pipelines, such digital twin prototypes can be used for automated integration testing and, thus, allow for an agile verification and validation process. In this paper, we demonstrate and report on the application and implementation of a digital twin using the example of two real-world field studies (ocean observation systems and smart farming). For independent replication and extension of our approach by other researchers, we provide a laboratory study published open source on GitHub. |
| Jun 03, 2024 | Fakultätspreis für Sören Henning Sören Henning erhält den Fakultätspreis für seine Dissertation „Scalability Benchmarking of Cloud-Native Applications Applied to Event-Driven Microservices“ |
| Feb 13, 2024 | New journal paper on digital twins for smart farming New paper in the journal SymmetryBarbie, Alexander, Wilhelm Hasselbring, and Malte Hansen. 2024. “Digital Twin Prototypes for Supporting Automated Integration Testing of Smart Farming Applications” Symmetry 16, no. 2: 221. https://doi.org/10.3390/sym16020221 AbstractIndustry 4.0 marks a major technological shift, revolutionizing manufacturing with increased efficiency, productivity, and sustainability. This transformation is paralleled in agriculture through smart farming, employing similar advanced technologies to enhance agricultural practices. Both fields demonstrate a symmetry in their technological approaches. Recent advancements in software engineering and the digital twin paradigm are addressing the challenge of creating embedded software systems for these technologies. Digital twins allow full development of software systems before physical prototypes are made, exemplifying a cost-effective method for Industry 4.0 software development. Our digital twin prototype approach mirrors software operations within a virtual environment, integrating all sensor interfaces to ensure accuracy between emulated and real hardware. In essence, the digital twin prototype acts as a prototype of its physical counterpart, effectively substituting it for automated testing of physical twin software. This paper discusses a case study applying this approach to smart farming, specifically enhancing silage production. We also provide a lab study for independent replication of this approach. The source code for a digital twin prototype of a PiCar-X by SunFounder is available open-source on GitHub, illustrating how digital twins can bridge the gap between virtual simulations and physical operations, highlighting the symmetry between physical and digital twins. |