Joana L. F. P. Cardoso;Paul T. Grogan;Michael J. Pennock
{"title":"网络物理系统中互操作性问题的分类:来自 OpenWrt 的经验案例","authors":"Joana L. F. P. Cardoso;Paul T. Grogan;Michael J. Pennock","doi":"10.1109/JSYST.2024.3426541","DOIUrl":null,"url":null,"abstract":"Reuse of cyber-physical modules is critical to accelerate the development times and reduce design costs of cyber-physical systems (CPS). Successful module reuse depends on the ability to mitigate interoperability problems. Over the years, different communities have worked to understand and mitigate these problems leading to different interoperability models, oftentimes tied to particular domains. One important question, tackled in this article, is whether these models can help with the design of CPS. Specifically, this article evaluates a real-world example of a CPS against the levels of conceptual interoperability model (LCIM). The approach followed leverages natural language processing techniques to narrow an initial set of system changes down to a subset of problems, some of which are interoperability problems. This effort enables a comparison between the empirical evidence found and the interoperability model considered. The results obtained show that the observed interoperability problems fit well under the multilevel categories proposed by the LCIM. Furthermore, the LCIM seems to provide a complete description for the interoperability problems found, checking for fit and completeness. A significant impact of the results obtained is the enabling of more focused discussions of the key attributes of said problems and subsequent identification and assessment of the effectiveness of existing mitigation approaches.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"18 3","pages":"1658-1668"},"PeriodicalIF":4.0000,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Classifying Interoperability Problems in Cyber-Physical Systems: Empirical Cases From OpenWrt\",\"authors\":\"Joana L. F. P. Cardoso;Paul T. Grogan;Michael J. Pennock\",\"doi\":\"10.1109/JSYST.2024.3426541\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Reuse of cyber-physical modules is critical to accelerate the development times and reduce design costs of cyber-physical systems (CPS). Successful module reuse depends on the ability to mitigate interoperability problems. Over the years, different communities have worked to understand and mitigate these problems leading to different interoperability models, oftentimes tied to particular domains. One important question, tackled in this article, is whether these models can help with the design of CPS. Specifically, this article evaluates a real-world example of a CPS against the levels of conceptual interoperability model (LCIM). The approach followed leverages natural language processing techniques to narrow an initial set of system changes down to a subset of problems, some of which are interoperability problems. This effort enables a comparison between the empirical evidence found and the interoperability model considered. The results obtained show that the observed interoperability problems fit well under the multilevel categories proposed by the LCIM. Furthermore, the LCIM seems to provide a complete description for the interoperability problems found, checking for fit and completeness. A significant impact of the results obtained is the enabling of more focused discussions of the key attributes of said problems and subsequent identification and assessment of the effectiveness of existing mitigation approaches.\",\"PeriodicalId\":55017,\"journal\":{\"name\":\"IEEE Systems Journal\",\"volume\":\"18 3\",\"pages\":\"1658-1668\"},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2024-08-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Systems Journal\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10638735/\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Systems Journal","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10638735/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
Classifying Interoperability Problems in Cyber-Physical Systems: Empirical Cases From OpenWrt
Reuse of cyber-physical modules is critical to accelerate the development times and reduce design costs of cyber-physical systems (CPS). Successful module reuse depends on the ability to mitigate interoperability problems. Over the years, different communities have worked to understand and mitigate these problems leading to different interoperability models, oftentimes tied to particular domains. One important question, tackled in this article, is whether these models can help with the design of CPS. Specifically, this article evaluates a real-world example of a CPS against the levels of conceptual interoperability model (LCIM). The approach followed leverages natural language processing techniques to narrow an initial set of system changes down to a subset of problems, some of which are interoperability problems. This effort enables a comparison between the empirical evidence found and the interoperability model considered. The results obtained show that the observed interoperability problems fit well under the multilevel categories proposed by the LCIM. Furthermore, the LCIM seems to provide a complete description for the interoperability problems found, checking for fit and completeness. A significant impact of the results obtained is the enabling of more focused discussions of the key attributes of said problems and subsequent identification and assessment of the effectiveness of existing mitigation approaches.
期刊介绍:
This publication provides a systems-level, focused forum for application-oriented manuscripts that address complex systems and system-of-systems of national and global significance. It intends to encourage and facilitate cooperation and interaction among IEEE Societies with systems-level and systems engineering interest, and to attract non-IEEE contributors and readers from around the globe. Our IEEE Systems Council job is to address issues in new ways that are not solvable in the domains of the existing IEEE or other societies or global organizations. These problems do not fit within traditional hierarchical boundaries. For example, disaster response such as that triggered by Hurricane Katrina, tsunamis, or current volcanic eruptions is not solvable by pure engineering solutions. We need to think about changing and enlarging the paradigm to include systems issues.