The OMG standard Systems Modeling Language (SysML) has been on the market for about thirteen years. This standard is an extended subset of UML providing a graphical modeling language for designing complex systems by considering software as well as hardware parts. Over the period of thirteen years, many publications have covered various aspects of SysML in different research fields. The aim of this paper is to conduct a systematic mapping study about SysML to identify the different categories of papers, (i) to get an overview of existing research topics and groups, (ii) to identify whether there are any publication trends, and (iii) to uncover possible missing links. We followed the guidelines for conducting a systematic mapping study by Petersen et al. (Inf Softw Technol 64:1-18, 2015) to analyze SysML publications from 2005 to 2017. Our analysis revealed the following main findings: (i) there is a growing scientific interest in SysML in the last years particularly in the research field of Software Engineering, (ii) SysML is mostly used in the design or validation phase, rather than in the implementation phase, (iii) the most commonly used diagram types are the SysML-specific requirement diagram, parametric diagram, and block diagram, together with the activity diagram and state machine diagram known from UML, (iv) SysML is a specific UML profile mostly used in systems engineering; however, the language has to be customized to accommodate domain-specific aspects, (v) related to collaborations for SysML research over the world, there are more individual research groups than large international networks. This study provides a solid basis for classifying existing approaches for SysML. Researchers can use our results (i) for identifying open research issues, (ii) for a better understanding of the state of the art, and (iii) as a reference for finding specific approaches about SysML.
AutomationML (AML) is an emerging standard in the automation domain to represent and exchange artifacts between heterogeneous engineering tools used in different disciplines, such as mechanical and electrical engineering. The Systems Modeling Language (SysML) is a modeling standard influenced by software modeling languages, such as UML, typically adopted in the early phases of engineering processes. This paper investigates commonalities and differences of the structural modeling parts of AML (CAEX) and SysML (block diagrams) in support of establishing tool-independent interoperability. This support for cross-disciplinary modeling is facilitated by a bridge between AML and SysML built on model-driven interoperability techniques. We demonstrate the interoperability between AML and SysML with a case study concerning a lab-sized production system.
The goal of Building Information Modeling (BIM) is the continuous use of digital construction models from the planning stage onwards. The affected processes are iterative and involve multiple stakeholders who work at varying pace and in varying levels of detail. These stakeholders require highly specific tools based on diverging data models. To satisfy all those requirements one of the best known Open BIM implementations-IFC-offers a data model containing more than one thousand different types-from basic to highly specific. Due to its complexity, potential users must undergo prolonged training. The even bigger challenge for IFC, however, is keeping up with the updates of building regulations or with the ever expanding state of the art in simulation tools. Our approach, SIMULTAN, in contrast to IFC, consist of 26 different basic types. They can be combined to increasingly complex models, which can themselves be used as types for other models. This enables each domain expert to create a custom data structure for any specific task, which is automatically compatible with the data structure of any other domain expert using the same basic types. It shortens the training time and facilitates the loss-, corruption-, and conflict-free exchange of information between domain experts, which is a key aspect of BIM. As a use case, we present the calculation of the U-Value of a multi-layered wall. We compare number, complexity and adequacy of the necessary data modelling steps in IFC4 and in SIMULTAN. The result shows that the flexible data model of SIMULTAN can be better adapted to the task. Another significant advantage of SIMULTAN is its inbuilt separation of responsibilities at the level of the most basic types, which, when combined with secure transaction technologies, can enable safe, effective and easily traceable interaction among stakeholders.
Production system operators need support for collecting and pre-processing data on production systems consisting of several system components, as foundation for optimization and defect detection. Traditional approaches based on hard-coded programming of such run-time data collection systems take time and effort, and require both domain and technology knowledge. In this article, we introduce the AML-RTDC approach, which combines the strengths of AutomationML (AML) data modeling and model-driven engineering, to reduce the manual effort for realizing the run-time data collection (RTDC) system. We evaluate the feasibility of the AML-RTDC approach with a demonstration case about a lab-sized production system and a use case based on real-world requirements.
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