An important task in requirements engineering is to identify and determine how to verify a requirement (eg., by manual review, testing, or simulation; also called \emphpotential verification method). This information is required to effectively create test cases and verification plans for requirements. In this paper, ...

Ein Hemmnis beim Einsatz der digitalen Technologien stellt die mangelnde Zuverlässigkeit bzw. die Ungenauigkeit von Entscheidungshilfesystemen, insbesondere zur teilflächenspezifischen Vorhersage von Biomassewachstum, Krankheiten oder Nährstoffstress, dar. Mit dem Feldversuch „Fieldloop“ werden unterschiedliche Sensortechniken ...

Data-driven machine learning methods are typically most successful when they can rely on very large and in some sense, homogeneous training sets in areas where little prior scientific knowledge exists. Production engineering, management, and usage satisfy few of these criteria and therefore do not show very many success ...

Teaching machine learning in fields outside of computer sciences can be challenging when the students do not have a solid code knowledge. In this work, the requirements for teaching data literacy and code literacy to students of logistics are explored. Specifically, the use of Jupyter Notebooks in a machine learning ...