Hassan Sartaj, Shaukat Ali, Tao Yue, Kjetil Moberg
Healthcare 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.
{"title":"Model-based digital twins of medicine dispensers for healthcare IoT applications","authors":"Hassan Sartaj, Shaukat Ali, Tao Yue, Kjetil Moberg","doi":"10.1002/spe.3311","DOIUrl":"https://doi.org/10.1002/spe.3311","url":null,"abstract":"Healthcare 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.","PeriodicalId":21899,"journal":{"name":"Software: Practice and Experience","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139482963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Santiago Gil, Peter H. Mikkelsen, Cláudio Gomes, Peter G. Larsen
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.
{"title":"Survey on open-source digital twin frameworks–A case study approach","authors":"Santiago Gil, Peter H. Mikkelsen, Cláudio Gomes, Peter G. Larsen","doi":"10.1002/spe.3305","DOIUrl":"https://doi.org/10.1002/spe.3305","url":null,"abstract":"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 <i>out-of-the-box</i> features and services for DTs, are also shown.","PeriodicalId":21899,"journal":{"name":"Software: Practice and Experience","volume":"44 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139374815","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Carlos Villarrubia, Juan Manuel Vara, David Granada, Cristian Gómez-Macías, Francisco Javier Pérez-Blanco
Agile methods have been widely adopted by the industry and its teaching has seen a surge, particularly in the software development field. However, these methods have a number of limitations which affect product outcomes, such as the fact that many software development companies now use Scrum to get developers to work without interruption between iterations, rather than to maintain a sustainable rhythm. Agile experts have stated the importance of incorporating creativity into Scrum, and although there are several agile resources that help with the learning process, it seems essential to approach such learning from a practical point of view. Furthermore, none of these resources introduce creativity. In this paper, we present an educational resource in the form of a serious game that allows you to acquire all the key concepts of agile and creative methods. The game is based on the use of LEGO pieces to simulate a real project, applying the key concepts of the Scrum and Design Thinking frameworks in a gamified way. It was assessed in a professional training centre of computer science by using surveys through which participants evaluated their previous knowledge of agile and creativity methods. We analysed the improvement of these competences, as well as the general level of satisfaction with the game. After the game, the results showed that the participants' knowledge of the Scrum and Design Thinking frameworks had improved and that they were very satisfied with the whole experience.
{"title":"DesignScrum–An agility educational resource powered by creativity","authors":"Carlos Villarrubia, Juan Manuel Vara, David Granada, Cristian Gómez-Macías, Francisco Javier Pérez-Blanco","doi":"10.1002/spe.3308","DOIUrl":"https://doi.org/10.1002/spe.3308","url":null,"abstract":"Agile methods have been widely adopted by the industry and its teaching has seen a surge, particularly in the software development field. However, these methods have a number of limitations which affect product outcomes, such as the fact that many software development companies now use Scrum to get developers to work without interruption between iterations, rather than to maintain a sustainable rhythm. Agile experts have stated the importance of incorporating creativity into Scrum, and although there are several agile resources that help with the learning process, it seems essential to approach such learning from a practical point of view. Furthermore, none of these resources introduce creativity. In this paper, we present an educational resource in the form of a serious game that allows you to acquire all the key concepts of agile and creative methods. The game is based on the use of LEGO pieces to simulate a real project, applying the key concepts of the Scrum and Design Thinking frameworks in a gamified way. It was assessed in a professional training centre of computer science by using surveys through which participants evaluated their previous knowledge of agile and creativity methods. We analysed the improvement of these competences, as well as the general level of satisfaction with the game. After the game, the results showed that the participants' knowledge of the Scrum and Design Thinking frameworks had improved and that they were very satisfied with the whole experience.","PeriodicalId":21899,"journal":{"name":"Software: Practice and Experience","volume":"8 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139374390","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Romina Eramo, Martina Nolletti, Luigi Pomante, Laura Pasquale, Dario Pascucci
Modeling and simulation represent an essential part of overall systems engineering. Complex engineering systems are composed of many heterogeneous components often modeled and simulated employing different languages and environments, and often by different organizations; thus, demands for interoperability are getting increased. Model‐driven engineering (MDE) has been demonstrated to be an advancement in software engineering: existing software in several domains today benefits from abstraction and automation during the system development process. Although these techniques are now highly advanced, many industries may require considerable effort before fully benefiting from them. This article reports on a case study carried out for 12 months within a company in the space industry domain. The goal of this empirical study is to investigate the adoption of MDE in supporting simulation models interoperability. The article identifies factors considered important for MDE adoption as well as obstacles that can be encountered in a real case. Researchers and practitioners may benefit from our findings typically when reusing models across different simulation environments, exchanging simulation models between different stakeholders, and seeking to improve simulation modeling practices.
{"title":"Model‐driven engineering for simulation models interoperability: A case study in space industry","authors":"Romina Eramo, Martina Nolletti, Luigi Pomante, Laura Pasquale, Dario Pascucci","doi":"10.1002/spe.3309","DOIUrl":"https://doi.org/10.1002/spe.3309","url":null,"abstract":"Modeling and simulation represent an essential part of overall systems engineering. Complex engineering systems are composed of many heterogeneous components often modeled and simulated employing different languages and environments, and often by different organizations; thus, demands for interoperability are getting increased. Model‐driven engineering (MDE) has been demonstrated to be an advancement in software engineering: existing software in several domains today benefits from abstraction and automation during the system development process. Although these techniques are now highly advanced, many industries may require considerable effort before fully benefiting from them. This article reports on a case study carried out for 12 months within a company in the space industry domain. The goal of this empirical study is to investigate the adoption of MDE in supporting simulation models interoperability. The article identifies factors considered important for MDE adoption as well as obstacles that can be encountered in a real case. Researchers and practitioners may benefit from our findings typically when reusing models across different simulation environments, exchanging simulation models between different stakeholders, and seeking to improve simulation modeling practices.","PeriodicalId":21899,"journal":{"name":"Software: Practice and Experience","volume":"36 23","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139384170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dasol Kim, Jiwoo Han, Siwoon Son, Myeong-Seon Gil, Yang-Sae Moon, Heesun Won
An open data lake stores various forms and types of open data, and there is an increasing demand to manage raw data in tables rather than files for efficient data exploration and analysis. In this paper, we investigate the data management of open data lakes and recognize the limitations of table migration and related problems. First, open data lakes have problems of preprocessing complexity, scale limitation, and platform dependency due to the traditional data management method and open data characteristics. Second, existing studies for table migration have problems of lack of scalability, migration incompleteness, and scale limitation. In this work, we present a novel automation framework, called Demeter, which solves three problems inherent in open data lakes by expanding automation. Specifically, it supports automating catalog collection and preprocessing tasks to solve preprocessing complexity and scale limitation. It also supports platform universality for representative data platforms through the automation of catalog analysis and detailed processing logic. Demeter then solves three problems in table migration by adopting Airbyte, an open-source ELT platform, and by enhancing automation capability with the Airbyte manager. We verify that Demeter resolves all the problems above through extensive experiments and proves its scalability and universality. In addition, significantly outperforms CKAN by Demeter up to 508.5% in automation performance, up to 207.28% in processing time, and up to 917.17% in migration performance. These results indicate that Demeter is an excellent automation framework that increases the utilization of large-scale open data and supports reliable Internet-scale migration.
{"title":"Demeter: An automatic framework for data migration in open data lakes","authors":"Dasol Kim, Jiwoo Han, Siwoon Son, Myeong-Seon Gil, Yang-Sae Moon, Heesun Won","doi":"10.1002/spe.3294","DOIUrl":"https://doi.org/10.1002/spe.3294","url":null,"abstract":"An open data lake stores various forms and types of open data, and there is an increasing demand to manage raw data in tables rather than files for efficient data exploration and analysis. In this paper, we investigate the data management of open data lakes and recognize the limitations of table migration and related problems. First, open data lakes have problems of <i>preprocessing complexity</i>, <i>scale limitation</i>, and <i>platform dependency</i> due to the traditional data management method and open data characteristics. Second, existing studies for table migration have problems of <i>lack of scalability</i>, <i>migration incompleteness</i>, and <i>scale limitation</i>. In this work, we present a novel automation framework, called Demeter, which solves three problems inherent in open data lakes by expanding automation. Specifically, it supports automating catalog collection and preprocessing tasks to solve preprocessing complexity and scale limitation. It also supports platform universality for representative data platforms through the automation of catalog analysis and detailed processing logic. Demeter then solves three problems in table migration by adopting Airbyte, an open-source ELT platform, and by enhancing automation capability with the Airbyte manager. We verify that Demeter resolves all the problems above through extensive experiments and proves its scalability and universality. In addition, significantly outperforms CKAN by Demeter up to 508.5% in automation performance, up to 207.28% in processing time, and up to 917.17% in migration performance. These results indicate that Demeter is an excellent automation framework that increases the utilization of large-scale open data and supports reliable Internet-scale migration.","PeriodicalId":21899,"journal":{"name":"Software: Practice and Experience","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139052971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Team formation in an environment where some relevant parameters are not known in advance is a challenging problem. Communicating automata and distributed algorithms have been used to describe protocols for team formation. A high-level specification provides a mathematical description of a protocol or a program. TLA