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相关论文: Embedded Software Development with Digital Twins: …

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Digital twins promise a better understanding and use of complex systems. To this end, they represent these systems at their runtime and may interact with them to control their processes. Software engineering is a wicked challenge in which…

软件工程 · 计算机科学 2025-10-08 Robin Kimmel , Judith Michael , Andreas Wortmann , Jingxi Zhang

Many different worldwide initiatives are promoting the transformation from machine dominant manufacturing to digital manufacturing. Thus, to achieve a successful transformation to Industry 4.0 standard, manufacturing enterprises are…

软件工程 · 计算机科学 2024-02-01 Víctor Julio Ramírez-Durán , Idoia Berges , Arantza Illarramendi

Agile software development methods have been suggested as useful in many situations and contexts. However, only few (if any) experiences are available regarding the use of agile methods in embedded domain where the hardware sets tight…

软件工程 · 计算机科学 2017-11-27 Jussi Ronkainen , Pekka Abrahamsson

The transformation to Industry 4.0 also transforms the processes of how we develop intelligent manufacturing production systems. To advance the software development of these new (embedded) software systems, digital twins may be employed.…

软件工程 · 计算机科学 2024-05-30 Alexander Barbie , Wilhelm Hasselbring

Digital Twin (DT) has gained great interest as an innovative technology in Industry 4.0 that enables advanced modeling, simulation, and optimization of service and manufacturing systems. This article provides an extensive review of the…

综合数学 · 数学 2026-01-26 Sarow Saeedi

The digital twin has emerged as a technology to predict the undesirables, and ensure desired performance of complex systems. Although digital twins have got attention in the manufacturing research spectrum, yet their industrial application…

系统与控制 · 电气工程与系统科学 2021-04-08 Ali Ahmad Malik

The recent advancement of information and communication technology makes digitalisation of an entire manufacturing shop-floor possible where physical processes are tightly intertwined with their cyber counterparts. This led to an emergence…

软件工程 · 计算机科学 2021-02-08 Heejong Park , Arvind Easwaran , Sidharta Andalam

Even though, digital transformation has attracted much attention of both academics and practitioners, a very limited number of studies have investigated the digital transformation process in small and medium-sized enterprises (SMEs) and the…

数字图书馆 · 计算机科学 2021-11-12 Sachithra Lokuge , Sophia Xiaoxia Duan

Recent advances in large language models (LLMs) have demonstrated strong capabilities in software engineering tasks, raising expectations of revolutionary productivity gains. However, enterprise software development is largely driven by…

软件工程 · 计算机科学 2025-10-28 Xin Peng , Chong Wang

This article discusses the use of digital twins for products made of polymer composite materials. The design of new products from polymer composite materials, both within the framework of the traditional and new direction of cloud…

机器人学 · 计算机科学 2021-09-14 Maksim Kubrikov , Mikhail Saramud , Angelina Petetskaya , Evgeniy Talay

Digital Twins (DTs) are becoming increasingly vital for future industrial applications, enhancing monitoring, control, and optimization of physical assets. This enhancement is made possible by integrating various Digital Models (DMs) within…

Digital twins (DT) are often defined as a pairing of a physical entity and a corresponding virtual entity (VE), mimicking certain aspects of the former depending on the use-case. In recent years, this concept has facilitated numerous…

Smart ecosystems are the drivers of modern society. They control infrastructures of socio-techno-economic importance, ensuring their stable and sustainable operation. Smart ecosystems are governed by digital twins -- real-time virtual…

软件工程 · 计算机科学 2024-08-21 Judith Michael , Istvan David , Dominik Bork

Digital Twin technology is an emerging concept that has become the centre of attention for industry and, in more recent years, academia. The advancements in industry 4.0 concepts have facilitated its growth, particularly in the…

计算机与社会 · 计算机科学 2020-06-19 Aidan Fuller , Zhong Fan , Charles Day , Chris Barlow

In many industries, the scale and complexity of systems can present significant barriers to the development of accurate digital twin models. This paper introduces a novel methodology and a modular computational tool utilizing machine…

计算工程、金融与科学 · 计算机科学 2025-09-23 Deniz Karanfil , Bahram Ravani

Recently, digital transformation has caught much attention of both academics and practitioners. With the advent of digital technologies, small-and-medium-sized enterprises (SMEs) have obtained the capacity to initiate digital transformation…

信息论 · 计算机科学 2023-02-27 Sachithra Lokuge , Sophia Duan

In Industry 4.0, the digital twin is one of the emerging technologies, offering simulation abilities to predict, refine, and interpret conditions and operations, where it is crucial to emphasize a heightened concentration on the associated…

系统与控制 · 电气工程与系统科学 2024-12-19 Alexander D. Zemskov , Yao Fu , Runchao Li , Xufei Wang , Vispi Karkaria , Ying-Kuan Tsai , Wei Chen , Jianjing Zhang , Robert Gao , Jian Cao , Kenneth A. Loparo , Pan Li

Digital Twins are part of the vision of Industry 4.0 to represent, control, predict, and optimize the behavior of Cyber-Physical Production Systems (CPPSs). These CPPSs are long-living complex systems deployed to and configured for diverse…

系统与控制 · 电气工程与系统科学 2021-03-23 Tim Bolender , Gereon Bürvenich , Manuela Dalibor , Bernhard Rumpe , Andreas Wortmann

The rapid growth of Industry 4.0 technologies such as big data, cloud computing, smart sensors, machine learning (ML), radio-frequency identification (RFID), robotics, 3D-printing, and Internet of Things (IoT) offers Small and Medium…

Digital Twin (DT) technology revolutionizes industrial processes by enabling the representation of physical entities and their dynamics to enhance productivity and operational efficiency. It has emerged as a vital enabling technology in the…

网络与互联网体系结构 · 计算机科学 2026-02-02 Eduardo Freitas , Assis T. de Oliveira Filho , Pedro R. X. do Carmo , Djamel Sadok , Judith Kelner
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