Model‐based systems engineering: Evaluating perceived value, metrics, and evidence through literature

IF 1.6 3区工程技术 Q4 ENGINEERING, INDUSTRIAL

Systems Engineering Pub Date : 2022-10-19 DOI:10.1002/sys.21644

Kelly X. Campo, T. Teper, Casey E. Eaton, Anna M. Shipman, Garima Bhatia, Bryan L. Mesmer

{"title":"Model‐based systems engineering: Evaluating perceived value, metrics, and evidence through literature","authors":"Kelly X. Campo, T. Teper, Casey E. Eaton, Anna M. Shipman, Garima Bhatia, Bryan L. Mesmer","doi":"10.1002/sys.21644","DOIUrl":null,"url":null,"abstract":"Although Model‐Based Systems Engineering (MBSE) is quickly becoming adopted in Systems Engineering (SE), there have not been many studies evaluating literature to determine the perceived value of implementing MBSE. This research first identifies and discusses previous studies on the justification or rejection of MBSE. This study investigates how the SE community perceives the value of MBSE by coding and analyzing positive and negative descriptions of MBSE; perceived benefits and drawbacks of implementing MBSE; and the evidence and metrics used to substantiate and measure each claim about MBSE. From 60 academic sources, this study collected and coded over 2900 claims on MBSE. Our findings determine the most positive attributes of MBSE to be Verification & Validation Capability, Consistency, Reasoning, and Risk & Error Manageability, while the most negative attributes were Approach Understandability, Acceptability, Familiarity, and Approach Complexity. The most‐stated benefits were Reduced Time, Better Communication/Information Sharing, Reduced Costs, and Better Analysis Capability. The most claimed drawbacks were Increased Costs, Increased Time, Increased Effort, and Worsened Capability. A large share of claims (47%) about MBSE was based on author opinions. Most claims (86%) were not substantiated by a metric.","PeriodicalId":54439,"journal":{"name":"Systems Engineering","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Systems Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1002/sys.21644","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}

引用次数: 4

Abstract

Although Model‐Based Systems Engineering (MBSE) is quickly becoming adopted in Systems Engineering (SE), there have not been many studies evaluating literature to determine the perceived value of implementing MBSE. This research first identifies and discusses previous studies on the justification or rejection of MBSE. This study investigates how the SE community perceives the value of MBSE by coding and analyzing positive and negative descriptions of MBSE; perceived benefits and drawbacks of implementing MBSE; and the evidence and metrics used to substantiate and measure each claim about MBSE. From 60 academic sources, this study collected and coded over 2900 claims on MBSE. Our findings determine the most positive attributes of MBSE to be Verification & Validation Capability, Consistency, Reasoning, and Risk & Error Manageability, while the most negative attributes were Approach Understandability, Acceptability, Familiarity, and Approach Complexity. The most‐stated benefits were Reduced Time, Better Communication/Information Sharing, Reduced Costs, and Better Analysis Capability. The most claimed drawbacks were Increased Costs, Increased Time, Increased Effort, and Worsened Capability. A large share of claims (47%) about MBSE was based on author opinions. Most claims (86%) were not substantiated by a metric.

查看原文本刊更多论文

基于模型的系统工程:通过文献评估感知价值、度量和证据

尽管基于模型的系统工程(MBSE)正迅速被系统工程(SE)所采用，但并没有很多研究评估文献来确定实施MBSE的感知价值。本研究首先确认并讨论了先前关于MBSE的正当性或拒绝性的研究。本研究通过对MBSE的正面和负面描述进行编码和分析，探讨了SE群体如何感知MBSE的价值;实施MBSE的好处和缺点;以及用来证实和衡量每一个关于MBSE的说法的证据和指标。从60个学术来源中，本研究收集并编码了2900多个关于MBSE的索赔。我们的研究结果确定了MBSE最积极的属性是验证和验证能力、一致性、推理和风险和错误可管理性，而最消极的属性是方法可理解性、可接受性、熟悉性和方法复杂性。最明显的好处是减少了时间，更好的沟通/信息共享，降低了成本，更好的分析能力。最大的缺点是增加了成本，增加了时间，增加了工作，以及性能恶化。很大一部分关于MBSE的说法(47%)是基于作者的观点。大多数声称(86%)没有得到度量标准的证实。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Systems Engineering 工程技术-工程：工业

CiteScore

5.10

自引率

20.00%

发文量

审稿时长

6 months

期刊介绍： Systems Engineering is a discipline whose responsibility it is to create and operate technologically enabled systems that satisfy stakeholder needs throughout their life cycle. Systems engineers reduce ambiguity by clearly defining stakeholder needs and customer requirements, they focus creativity by developing a system’s architecture and design and they manage the system’s complexity over time. Considerations taken into account by systems engineers include, among others, quality, cost and schedule, risk and opportunity under uncertainty, manufacturing and realization, performance and safety during operations, training and support, as well as disposal and recycling at the end of life. The journal welcomes original submissions in the field of Systems Engineering as defined above, but also encourages contributions that take an even broader perspective including the design and operation of systems-of-systems, the application of Systems Engineering to enterprises and complex socio-technical systems, the identification, selection and development of systems engineers as well as the evolution of systems and systems-of-systems over their entire lifecycle. Systems Engineering integrates all the disciplines and specialty groups into a coordinated team effort forming a structured development process that proceeds from concept to realization to operation. Increasingly important topics in Systems Engineering include the role of executable languages and models of systems, the concurrent use of physical and virtual prototyping, as well as the deployment of agile processes. Systems Engineering considers both the business and the technical needs of all stakeholders with the goal of providing a quality product that meets the user needs. Systems Engineering may be applied not only to products and services in the private sector but also to public infrastructures and socio-technical systems whose precise boundaries are often challenging to define.