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11
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Introduction
Jan Novacek currently works at the SiM, FZI Forschungszentrum Informatik. Jan does research in Software Engineering, Human-computer Interaction and Artificial Intelligence. His most recent publication is 'Reasoning-Supported Robustness Validation of Automotive E/E Components.'
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Publications
Publications (11)
With the increase in the use of machine learning (ML) in industrial settings, the importance of effective ML operations (MLOps) practices has become crucial. In this paper, we present a case study on defining the best practices of MLOps for ML projects in the integrated circuit (IC) design domain. We address in our approach: data generation and col...
The German GAIA-X lighthouse project (COllabOrative Processes and sERvices for AeroNauTics and Space) is intend to accelerate the digitization processes in the space and aerospace industry with the aim of enabling more efficient working methods and development processes over the entire life cycle of spacecraft and aircraft in order to strengthen th...
Mission profiles are fundamental to technology development, product robustness validation and reliability engineering in the automotive development process. They contain a simplified and quantitative representation of external and internal load conditions a component or system might experience during its production and operation. One of the main pu...
This paper presents an ontology-supported approach to the management of design parameters in engineering. This approach aims specifically at enabling Change Impact Analysis through Requirements Traceability and acquainted expert knowledge of design parameters. The approach is suitable for both software and hardware designs. The activities and featu...
This article presents an ontology-supported approach to tackle the complexity of the Robustness Validation (RV) process of automotive electrical/electronic (E/E) components. The approach uses formalized knowledge from the RV process and stress, operating, and load profiles, so-called Mission Profiles (MPs). In contrast to the error-prone industrial...
This paper presents an ontology-supported approach to tackle the complexity of the Robustness Validation (RV) process of automotive electrical/electronic (E/E) components. The approach uses formalized knowledge from the RV process and stress, operating, and load profiles, so-called Mission Profiles (MPs). In contrast to the error-prone industrially...
