A Cross-Domain Systematic Mapping Study on Software Engineering for Digital Twins

Dalibor, Manuela; Jansen, Nico; Rumpe, Bernhard; Schmalzing, David; Wachtmeister, Louis; Wimmer, Manuel; Wortmann, Andreas

doi:10.1016/j.jss.2022.111361

Cited by 60 publications

(27 citation statements)

References 306 publications

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“…Support for Analytics. DTs should provide some services in relation to optimization, decision making, task allocation, and so forth, 32,34 where some of these services should come from simulation, analysis, artificial intelligence, or computation models: 33 a. Level 0-No support for analytics.…”

Section: Criteria To Analyze the Dt Frameworkmentioning

confidence: 99%

“…34 Building DTs from composable DTs introduces the term Multiplicity. 32,34 If not fully composable, hierarchical aggregation of DTs 35 can still be beneficial: a. The tool support compositionality of DTs.…”

Section: Criteria To Analyze the Dt Frameworkmentioning

confidence: 99%

“…It is important to highlight that some of the criteria are inspired by the ISO 23247:2021-Automation systems and integration-Digital twin framework for manufacturing, 21 which provides a consensual set of services for DT frameworks regarding communication, data acquisition, data analysis, simulation, among other features. This standard was chosen due to it being a pioneer of standards for DT technology that may provide harmonization within the domain, 34 a domain where there are still challenges in relation to standardization, 29,38 and it is hopefully transferable to other fields and domains.…”

Section: Rationalementioning

confidence: 99%

“…These usages may imply either indirect or direct or both actions of the DT on the PE, which is another controversial topic. 34 Nevertheless, these usages are not easy to implement at all, and are usually designed and developed specifically for a particular DT-to-PE pair. However, the ideal scenario is that these usages are leveraged from modules, which need to be easily parameretized for multiple, if not any, DT-to-PE pairs.…”

Section: From Theory To Practicementioning

confidence: 99%

See 3 more Smart Citations

Survey on open‐source digital twin frameworks–A case study approach

Gil,

Mikkelsen,

Gomes

et al. 2024

Softw Pract Exp

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Digital twin (DT) technology has been a topic with academic and industrial coverage in recent years. DTs are intended to be a virtual high‐fidelity representation of a physical counterpart. Its complex nature requires several components to create and run a DT, and that is why many DT frameworks have been proposed in the literature. There are also many surveys of DTs, but none that is bottom‐up with concrete examples and focused on open‐source software. This survey analyzes 14 open‐source DT frameworks in 10 different dimensions, which are then categorized in six different groups according to their modeling and technological domain, to present the reader different options for creating and managing DT applications, and to understand potential combinations, uses, and limitations of the tools. It also presents a case study with five of the explored DT frameworks, describing the process on how the DT is set up and comparing their capabilities based on the services to be provided by the DT. Finally, it discusses advantages and limitations of the tools according to domain, requirements, and scope, relevant aspects regarding built‐in simulations and data analytics, theory‐to‐practice transition, and advantages/disadvantages of using open‐source software instead of commercial. Main limitations of the study due to its narrow niche, conclusions, and opportunities for future research regarding the potential room for improvement in terms of out‐of‐the‐box features and services for DTs, are also shown.

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Section: Criteria To Analyze the Dt Frameworkmentioning

confidence: 99%

Section: Criteria To Analyze the Dt Frameworkmentioning

confidence: 99%

Section: Rationalementioning

confidence: 99%

Section: From Theory To Practicementioning

confidence: 99%

See 2 more Smart Citations

Survey on open‐source digital twin frameworks–A case study approach

Gil,

Mikkelsen,

Gomes

et al. 2024

Softw Pract Exp

View full text Add to dashboard Cite

show abstract

“…Also, the primary limitation of open-source tools is public data storage, 67 which causes privacy issues for healthcare authorities. Further, they are highly generic, 68 and application-specific functionalities need to be added manually. 60,69 Moreover, some commercial tools (e.g., AWS IoT Twin-Maker) restrict their use in the healthcare domain due to their safety-critical nature.…”

Section: Industrial Dtsmentioning

confidence: 99%

Model‐based digital twins of medicine dispensers for healthcare IoT applications

Sartaj,

Ali,

Yue

et al. 2024

Softw Pract Exp

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SummaryHealthcare applications with the Internet of Things (IoT) are often safety‐critical, thus, require extensive testing. Such applications are often connected to smart medical devices from various vendors. System‐level testing of such applications requires test infrastructures physically integrating medical devices, which is time and monetary‐wise expensive. Moreover, applications continuously evolve, for example, introducing new devices and users and updating software. Nevertheless, a test infrastructure enabling testing with a few devices is insufficient for testing healthcare IoT systems, hence compromising their dependability. In this paper, we propose a model‐based approach for the creation and operation of digital twins (DTs) of medicine dispensers as a replacement for physical devices to support the automated testing of IoT applications at scale. We evaluate our approach with an industrial IoT system with medicine dispensers in the context of Oslo City and its industrial partners, providing healthcare services to its residents. We study the fidelity of DTs in terms of their functional similarities with their physical counterparts: medicine dispensers. Results show that the DTs behave more than 92% similar to the physical medicine dispensers, providing a faithful replacement for the dispenser.

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Looking back and forward: A retrospective and future directions on software engineering for systems‐of‐systems

Cavalcante,

Batista,

Oquendo

2024

J Software Evolu Process

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Modern systems are increasingly connected and more integrated with other existing systems, giving rise to systems‐of‐systems (SoS). An SoS consists of a set of independent, heterogeneous systems that interact to provide new functionalities and accomplish global missions through emergent behavior manifested at runtime. The distinctive characteristics of SoS, when contrasted to traditional systems, pose significant research challenges within software engineering. These challenges motivate the need for a paradigm shift and the exploration of novel approaches for designing, developing, deploying, and evolving these systems. The International Workshop on Software Engineering for Systems‐of‐Systems (SESoS) series started in 2013 to fill a gap in scientific forums addressing SoS from the software engineering perspective, becoming the first venue for this purpose. This article presents a study aimed at outlining the evolution and future trajectory of software engineering for SoS based on the examination of 57 papers spanning the 11 editions of the SESoS workshop (2013–2023). The study combined scoping review and scientometric analysis methods to categorize and analyze the research contributions concerning temporal and geographic distribution, topics of interest, research methodologies employed, application domains, and research impact. Based on such a comprehensive overview, this article discusses current and future directions in software engineering for SoS.

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A Cross-Domain Systematic Mapping Study on Software Engineering for Digital Twins

Cited by 60 publications

References 306 publications

Survey on open‐source digital twin frameworks–A case study approach

Survey on open‐source digital twin frameworks–A case study approach

Model‐based digital twins of medicine dispensers for healthcare IoT applications

Looking back and forward: A retrospective and future directions on software engineering for systems‐of‐systems

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