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As today’s software systems offer an ever-increasing number of functionalities, it becomes more and more difficult for software engineers to decide how the behaviors of different systems, various versions, or system variants differ from the stakeholders’ points of views. Use case diagrams (UCDs) are widely used for describing how different users use the functionalities of a system to achieve their goals. This empowers domain experts to create their PADTC prototypes. #SEATTLE EDU MATH 234 OLIVER AK CODE#This approach can be used for early prototyping of PADTCs as it needs no hand-written code in the first place, but it still allows for the iterative evolvement of the application. This process is evaluated using the MIMIC III dataset for the creation of a PADTC prototype for an automated hospital transportation system. We describe what models could be derived from event log data, which generative steps are needed for the engineering of PADTCs, and how process mining could be incorporated into the resulting application. Within this paper, we present a low-code development approach that reduces the amount of hand-written code needed and uses process mining techniques to derive PADTCs. Current research lacks systematic, automated approaches to derive process-aware digital twin cockpits even though some helpful techniques already exist in the areas of process mining and software engineering. #SEATTLE EDU MATH 234 OLIVER AK HOW TO#Therefore, it is interesting to investigate how to facilitate their engineering by using already existing data, namely event logs, and reducing the number of manual steps for their engineering. The engineering of digital twins and their user interaction parts with explicated processes, namely process-aware digital twin cockpits (PADTCs), is challenging due to the complexity of the systems and the need for information from different disciplines within the engineering process. Furthermore, we call researchers and tool developers to improve the state-of-the-art as well as the existing implementations of pertinent tools to support model-based rapid prototyping. Based on the reported experience, we encourage practitioners to adopt model-based engineering as an effective way to develop systems. We discuss the advantages of our approach as well as the challenges with respect to the existing tools and their underlying technology. While these technological tools are typically used to create dedicated, engineering-related modeling tools, in this work, we use them to create a functional system prototype. The tools practiced are those embedded into the Eclipse Modeling Framework-specifically, Ecore Tools and Sirius. Our approach relies on domain-specific modeling, incorporating metamodeling and domain-specific representations based on the problem domain’s ontology. In this paper, we report on the development of a functional, working prototype of the system using model-based engineering approach and tools. During the pandemic, Israeli Aerospace Industries helped hospitals to address the gap by designing a system to support their effective operation, management and decision making. The need to treat patients remotely and with limited resources led hospitals to identify a gap in their operational situational awareness. The COVID-19 pandemic caught hospitals unprepared. ![]() This research has been carried out by the working group of Bernhard Rumpe, which started 25 years ago in Munich, continued in Braunschweig, and since 10 years carries on at RWTH Aachen University. In this article, we summarize research activities focusing on the development and use of models in software and systems engineering. To this end, models in their various forms are an important prerequisite to gain this understanding. To remain in control of all these heterogeneous systems of systems, a precise, but an abstract understanding of these systems is necessary. ![]() In the ongoing digitalization of all aspects of our lives in almost every domain, including, e.g., mechanical engineering, electrical engineering, medicine, entertainment, or jurisdiction, the software is not only used to enable low-level controls of machines but also to understand system conditions and optimizations potentials. Engineering software and software-intensive systems have become increasingly complex over the last decades. ![]()
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