检索结果-内蒙古大学图书馆

Using model-based systems engineering Tools in Software Development

Procedia Computer Science 2024年 241卷 470-475页

作者： Kateryna Kolesnikova Dmytro Lukianov Askar Khikmetov Kaisar Alpysbayev Ardak Mukhamedyeva Yergali Dauletbek International IT University 34/1 Manas str. Almaty Kazakhstan GIGACloud Bortnikova Aveny 499A Kyiv Ukraine

The article discusses the application of model-based systems engineering in software development. MBSE offers a new model-based approach to viewing complex systems, allowing data and information to be effectively shared across different product life cycle stages. The paper examines the model-based systems engineering methodology, its benefits, and its impact on requirements, design, analysis, and verification within the product life cycle. The study highlights the relevance of using model-based systems engineering to modern systems engineering practices, especially in the context of software engineering. The study results demonstrate the benefits of model-based systems engineering and its ability to optimize development processes, improve product quality, and reduce delivery times. The scientific novelty of the article lies in the application and research of the model-based systems engineering in the context of software development, which represents a significant contribution to the development of modern systems engineering practices and development technologies.

关键词： model-based systems engineering software development Markov chain MBSE triangle

来源：评论

学校读者我要写书评

暂无评论

Implementing Patient-Centred Behavioural Health Integration into Primary Care Using model-based systems engineering

引用

systems RESEARCH AND BEHAVIORAL SCIENCE 2021年第2期38卷 246-256页

作者： Khayal, Inas S. McGovern, Mark P. Geisel Sch Med Dartmouth Dartmouth Inst Hlth Policy & Clin Practice Lebanon NH USA Dartmouth Coll Dept Comp Sci Hanover NH 03755 USA Stanford Univ Dept Psychiat Sch Med Div Publ Mental Hlth & Populat Sci Palo Alto CA 94304 USA Stanford Univ Sch Med Dept Med Div Primary Care & Populat Hlth Palo Alto CA 94304 USA

Psychiatric and substance use disorders, such as depression and/or opioid use disorders, are categorized as behavioural health conditions. In the United States, approximately one in four adults suffers from a behavioural health condition in any given year. These conditions are prevalent and costly. The current delivery of behavioural health services follows a primary to specialty referral practice, which has led to poor treatment initiation outcomes. These poor outcomes stem from a care delivery model that does not fully cater to the needs of patients. Patients prefer to receive both physical and mental health care within a single primary care setting. In response, healthcare delivery systems developed clinical models and approaches for behavioural health integration into primary care. These clinical models portray a sense of integration. However, these clinical models lack the necessary detail to describe the key components of a system and instead focus heavily on describing the system's physical form. By doing so, clinical models lack the ability to incorporate a broader range of patient needs and the details to describe a system to ensure it produces its intended outcomes. These limitations lead to variations in implementation success. Systematic approaches, including the development of system models, have been used to describe and develop complex systems. In this paper, we detail the design considerations for a patient-centred system model and describe its utilization in an implementation of a patient-centered behavioural health integration into primary care.

关键词： behavioral health implementation mental health model-based systems engineering primary care

来源：评论

学校读者我要写书评

暂无评论

Agile model-based systems engineering of passenger train operational design

引用

Transportation Research Procedia 2023年 72卷 295-302页

作者： Josh Barrett Nan Wang Jeanne-Marie Dalbavie Clara Carricajo IKOS UK Ltd 138 Holborn London EC1N 2SW United Kingdom IKOS Consulting 155 rue Anatole Paris 92300 France

The railway industry is facing the efficiency issue for the delivery of new or modification of existing rolling stock (McKinsey & Company 2016). The aim of this paper is to describe the activities undertaken in different railway environments and develop an adaptable model which defines the black box functional behaviour of a train system. Therefore, to prove the effectiveness in solving system requirements, the model-based systems engineering method has been applied to several railway uses cases to assess its effectiveness, including a variability management approach. The assessment provides confidence in the adoption of this approach to improve the accuracy and speed of system requirement specification of rolling stock. Initial results also include evidence of increased productivity by minimising unnecessary manual transcription of concepts when coordinating the work of large teams.

关键词： Black box functional system system requirements model-based systems engineering variability management

来源：评论

学校读者我要写书评

暂无评论

Implementation and Assessment of a Comprehensive model-based systems engineering Methodology with Regard to User Acceptance in Practice

引用

Procedia CIRP 2023年 119卷 897-902页

作者： Constantin Mandel Jerome Kaspar Rebecca Heitmann Sarah Horstmeyer Alex Martin Albert Albers IPEK – Institute of Product Engineering Karlsruhe Institute of Technology Kaiserstr. 10 76131 Karlsruhe Germany Model-Based Engineering Department :em engineering methods AG Rheinstraße 97 64295 Darmstadt Germany Systems Engineering HARTING Applied Technologies GmbH Wilhelm-Harting-Straße 1 32339 Espelkamp Germany

model-based systems engineering (MBSE) is becoming increasingly popular, not only in research but also in industrial companies. However, MBSE approaches (i.e. methods, frameworks, ontologies, and tools) are usually developed at a scientific level, so that they are too generic and formal for a company's internal use leading to acceptance issues in industrial practice. Against this background, this contribution presents a comprehensive user-oriented MBSE methodology tackling this lack of acceptance in industrial practice. based on ten previously derived fields of action for individual and organizational acceptance of MBSE approaches, a first positive evaluation of the MBSE methodology has been received. In this contribution, a further developed MBSE methodology is presented, which is created in cooperation of partners from research and industry. Assessment of this further developed MBSE methodology with six companies across different industries shows a positive impact on acceptance in comparison to existing MBSE approaches across the identified fields of action. Major improvements are seen regarding the perceived performance and benefit of MBSE, the usability of the modeling tool, and the communication within a development team. Smaller improvements are noted regarding the establishment of a clear target picture and modeling process, as well as in tackling ambiguity when modeling in a development team. In addition, research at one of the industrial partners shows that company-specific tailoring and implementation of the developed MBSE methodology can be performed in a fast and straightforward way.

关键词： model-based systems engineering modeling product development user-orientation evaluation

来源：评论

学校读者我要写书评

暂无评论

D-REQs: Determination of security & safety requirements in workshops based on the use of model-based systems engineering 29

D-REQs: Determination of security & safety requirements in w...

引用

29th IEEE International Requirements engineering Conference (RE)

作者： Japs, Sergej Anacker, Harald Kaiser, Lydia Holtmann, Joerg Dumitrescu, Roman Kargl, Frank Fraunhofer IEM Prod Engn Paderborn Germany Tech Univ Berlin Digital Engn 4 0 Berlin Germany Univ Gothenburg SE TRIP Gothenburg Sweden Univ Paderborn Adv Syst Engn Paderborn Germany Univ Ulm Inst Disributed Syst Ulm Germany

ISBN: (纸本)9781665418980

Cyber-physical systems, like autonomous vehicles, are intelligent and networked. The development of such systems requires cooperation between different stakeholders. A lack of system understanding can lead to unidentified (safety relevant) security requirements (SRSR) in early engineering. This can increase product development costs or compromise system safety compliance. model-based systems engineering (MBSE) improves the system understanding by using models. Conducting workshops in the context of MBSE promotes interaction between stakeholders so that confusion regarding SRSR can be resolved already in the workshop. Using the models created, requirements can be derived in the workshop. However, established security & safety approaches are not specifically designed to be used in conjunction with MBSE and requirements engineering. In this paper, we present an extension of our previously developed SAVE approach. This extension supports a team of stakeholders in workshops to derive SRSR using MBSE. We illustrate our approach with an example from the automotive domain and present an initial field study of the application of our approach, based on a 2-month student project.

关键词： model-based systems engineering Requirements engineering Security Safety Cyber-physical systems

来源：评论

学校读者我要写书评

暂无评论

model-based systems engineering for life-sciences instrumentation development

引用

systems engineering 2019年第2期22卷 98-113页

作者： Patou, Francois Dimaki, Maria Maier, Anja Svendsen, Winnie E. Madsen, Jan Tech Univ Denmark DTU Dept Management Engn DK-2800 Lyngby Denmark Tech Univ Denmark DTU Dept Micro & Nanotechnol DK-2800 Lyngby Denmark Tech Univ Denmark DTU Dept Appl Math & Comp Sci DK-2800 Lyngby Denmark

Next-generation genome sequencing machines and Point-of-Care (PoC) in vitro diagnostics devices are precursors of an emerging class of Cyber-Physical systems (CPS), one that harnesses biomolecular-scale mechanisms to enable novel wet-technology applications in medicine, biotechnology, and environmental science. Although many such applications exist, testifying the importance of innovative life-sciences instrumentation, recent events have highlighted the difficulties that designing organizations face in their attempt to guarantee safety, reliability, and performance of this special class of CPS. New regulations and increasing competition pressure innovators to rethink their design and engineering practices, and to better address the above challenges. The pace of innovation will be determined by how organizations manage to ensure the satisfaction of aforementioned constraints while also streamlining product development, maintaining high cost-efficiency and shortening time-to-market. model-based systems engineering provides a valuable framework for addressing these challenges. In this paper, we demonstrate that existing and readily available model-based development frameworks can be adopted early in the life-sciences instrumentation design process. Such frameworks are specifically helpful in describing and characterizing CPS including elements of a biological nature both at the architectural and performance level. We present the SysML model of a smartphone-based PoC diagnostics system designed for detecting a particular molecular marker. By modeling components and behaviors spanning across the biological, physical-nonbiological, and computational domains, we were able to characterize the important systemic relations involved in the specification of our system's Limit of Detection. Our results illustrate the suitability of such an approach and call for further work toward formalisms enabling the formal verification of systems including biomolecular components.

关键词： cyber-physical systems life-sciences model-based systems engineering model-based systems design sensitivity analysis SysML

来源：评论

学校读者我要写书评

暂无评论

Applicability of the diffusion of innovation theory to accelerate model-based systems engineering adoption

引用

systems engineering 2022年第6期25卷 574-583页

作者： Call, Daniel R. Herber, Daniel R. Colorado State Univ Dept Syst Engn Ft Collins CO 80523 USA

systems engineering (SE) is an interdisciplinary domain that can benefit from incorporating contributions from fields not typically associated with technical disciplines, including integrating relevant research from social sciences. The study of innovation has produced the diffusion of innovation theory, which identifies variables that affect the adoption rate of innovations. Of these variables, the perceived attributes of the innovation have been shown to have the most significant impact on the adoption rate of innovations. Shaping the innovation attributes of relative advantage, compatibility, complexity, trialability, and observability and how they are perceived can accelerate its adoption rate. This theory has the potential to accelerate the adoption rate of SE innovations. model-based systems engineering (MBSE) is an SE innovation that, despite its benefits, has not been adopted generally. An evaluation of the attributes of MBSE as defined by the diffusion of innovation theory can aid in understanding its slow diffusion and inform methods to accelerate its adoption. Since there is some evidence to suggest that this theory is applicable to SE and MBSE, additional research should be conducted to determine the best way to utilize its principles.

关键词： adoption rate diffusion of innovation theory innovation model-based systems engineering process improvement systems engineering

来源：评论

学校读者我要写书评

暂无评论

An Integrated Intelligent modeling and Simulation Language for model-based systems engineering

引用

JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION 2022年 28卷

作者： Zhang, Lin Ye, Fei Xie, Kunyu Gu, Pengfei Wang, Xiaohan Laili, Yuanjun Zhao, Chun Zhang, Xuesong Chen, Minjie Lin, Tingyu Chen, Zhen Beihang Univ Xueyuan Rd 37 Beijing Peoples R China Beijing Informat Sci & Technol Univ North Ring 35 Beijing Peoples R China Jilin Univ Qianjin St 2699 Changchun Jilin Peoples R China Beijing Huaru Technol Co Ltd Dongbeiwangxi Rd 10 Beijing Peoples R China Beijing Inst Elect Syst Engn Yongding Rd 52 Beijing Peoples R China

modeling and simulation are now leading the way in supporting analysis and development of system of systems. At present, to support the unified modeling formalism and dynamic simulation for different domain specific models across MBSE process, system modeling languages (such as SysML) are often required to cooperate with multi-physics modeling languages and simulation platforms (such as modelica, Simulink), which makes it challenging to ensure the true unity of the whole system models, the consistency between the various system layers and the traceability of the modeling and simulation processes. In response to the above problems, this paper develops a new integrated intelligent modeling and simulation language, which can uniformly describe the system-level architecture and physical behavior models as a whole. On this basis, models can be simulated directly to support system verification for MBSE. Compiler and simulation engine are developed to enable X language to support the simulation of continuous, discrete event and agent models. Finally, an intelligent car system is taken as a case to verify the modeling and simulation capabilities of X language.

关键词： modeling and simulation language model-based systems engineering Integration Intelligent Verification

来源：评论

学校读者我要写书评

暂无评论

Synergizing model-based systems engineering, Modularity, and Software Container Concepts to Mitigate Obsolescence

Synergizing Model-Based Systems Engineering, Modularity, and...

引用

作者： Morgan, Markeeva The George Washington University

学位级别：Ph.D., Doctor of Philosophy

Obsolescence resolution costs are estimated to exceed $10 billion annually for military expenditures. Yet, leading systems engineering handbooks do not address integrating obsolescence management into the systems engineering processes and life cycle stages. Further, model-based systems engineering (MBSE) and modularity are not proactively used to reduce those costs early in the design process. Without consideration early in the systems engineering life cycle, obsolescence management tends to be more reactive and costlier. While research has independently advanced in the areas of obsolescence management, MBSE, and modularity, no work has been accomplished to synergize these areas specifically to mitigate obsolescence impacts. Though MBSE alone can benefit obsolescence management, the combination of MBSE and modularity principles could enhance strategic management of obsolescence (as defined by Sandborn). The research represents a proof of concept, and results presented herein illuminate the untapped synergy at the nexus of obsolescence management, MBSE, and modularity research. Borrowing from the modular software engineering “container” concept, the container MBSE modeling approach presented provides systems engineers a method to influence the system design that constrains obsolescence impacts to the fewest system modules practicable. Applying this so-called model-based strategic obsolescence management approach as early as the system architecting and design phases, systems engineers can minimize ambiguity and reduce system life cycle cost and risk. Additionally, the research results presented include proposed general and specific content for incorporation into systems engineering handbooks and other guidance documents to integrate obsolescence management throughout the systems engineering life cycle. This content can enable project managers and systems engineers to mitigate adverse impacts of inevitable obsolescence more effectively and less expensively.

关键词： model-based systems engineering Modularity Obsolescence Obsolescence management

来源：评论

学校读者我要写书评

暂无评论

Operationalizing digital twins through model-based systems engineering methods

引用

systems engineering 2020年第6期23卷 724-750页

作者： Bickford, Jason Van Bossuyt, Douglas L. Beery, Paul Pollman, Anthony Naval Postgrad Sch Syst Engn Dept Monterey CA 93943 USA

In recent years there has been increased demand for readiness and availability metrics across many industries and especially in national defense to enable data-driven decision making at all levels of planning, maintenance, and operations, and in leveraging integrated models that inform stakeholders of current operational system health and performance metrics. The digital twin (DT) has been identified as a promising approach for deploying these models to fielded systems although several challenges exist in wide adoption and implementation. Two challenges examined in this article are that the nature of DT development is a system-specific endeavor, and the development is usually an additional effort that begins after initial system fielding. A fundamental challenge with DT development, which sets it apart from traditional models, is the DT itself is treated as a separate system, and therefore the physical asset/DT construct becomes a system-of-systems problem. This article explores how objectives in DT development align with those of model-based systems engineering (MBSE), and how the MBSE process can answer questions necessary to define the DT. The key benefits to the approach are leveraging work already being performed during system synthesis and DT development is pushed earlier in a system's lifecycle. This article contributes to the definition and development processes for DTs by proposing a DT development model and path, a method for scoping and defining requirements for a DT, and an approach to integrate DT and system development. An example case study of a Naval unmanned system is presented to illustrate the contributions.

关键词： autonomy digital twin health monitoring model-based systems engineering prognostics systems engineering unmanned surface vessel

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：