{"title":"系统工程模型与其他设计模型的区别是什么?本体论的、数据驱动的分析","authors":"Kannengiesser, Udo, Gero, John S.","doi":"10.1007/s00163-021-00382-9","DOIUrl":null,"url":null,"abstract":"<p>This paper investigates how the core technical processes of the INCOSE model of systems engineering differ from other models of designing used in the domains of mechanical engineering, software engineering and service design. The study is based on fine-grained datasets produced using mappings of the different models onto the function-behaviour-structure (FBS) ontology. By representing every model uniformly, the same statistical analyses can be carried out independently of the domain of the model. Results of correspondence analysis, cumulative occurrence analysis and Markov model analysis show that the INCOSE model differs from the other models in its increased emphasis on requirements and on behaviours derived from structure, in the uniqueness of its verification and validation phases, and in some patterns related to the temporal development and frequency distributions of FBS design issues.</p>","PeriodicalId":49629,"journal":{"name":"Research in Engineering Design","volume":"93 1","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2022-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"What distinguishes a model of systems engineering from other models of designing? An ontological, data-driven analysis\",\"authors\":\"Kannengiesser, Udo, Gero, John S.\",\"doi\":\"10.1007/s00163-021-00382-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>This paper investigates how the core technical processes of the INCOSE model of systems engineering differ from other models of designing used in the domains of mechanical engineering, software engineering and service design. The study is based on fine-grained datasets produced using mappings of the different models onto the function-behaviour-structure (FBS) ontology. By representing every model uniformly, the same statistical analyses can be carried out independently of the domain of the model. Results of correspondence analysis, cumulative occurrence analysis and Markov model analysis show that the INCOSE model differs from the other models in its increased emphasis on requirements and on behaviours derived from structure, in the uniqueness of its verification and validation phases, and in some patterns related to the temporal development and frequency distributions of FBS design issues.</p>\",\"PeriodicalId\":49629,\"journal\":{\"name\":\"Research in Engineering Design\",\"volume\":\"93 1\",\"pages\":\"\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2022-01-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Research in Engineering Design\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1007/s00163-021-00382-9\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, INDUSTRIAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research in Engineering Design","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s00163-021-00382-9","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
What distinguishes a model of systems engineering from other models of designing? An ontological, data-driven analysis
This paper investigates how the core technical processes of the INCOSE model of systems engineering differ from other models of designing used in the domains of mechanical engineering, software engineering and service design. The study is based on fine-grained datasets produced using mappings of the different models onto the function-behaviour-structure (FBS) ontology. By representing every model uniformly, the same statistical analyses can be carried out independently of the domain of the model. Results of correspondence analysis, cumulative occurrence analysis and Markov model analysis show that the INCOSE model differs from the other models in its increased emphasis on requirements and on behaviours derived from structure, in the uniqueness of its verification and validation phases, and in some patterns related to the temporal development and frequency distributions of FBS design issues.
期刊介绍:
Research in Engineering Design is an international journal that publishes research papers on design theory and methodology in all fields of engineering, focussing on mechanical, civil, architectural, and manufacturing engineering. The journal is designed for professionals in academia, industry and government interested in research issues relevant to design practice. Papers emphasize underlying principles of engineering design and discipline-oriented research where results are of interest or extendible to other engineering domains. General areas of interest include theories of design, foundations of design environments, representations and languages, models of design processes, and integration of design and manufacturing. Representative topics include functional representation, feature-based design, shape grammars, process design, redesign, product data base models, and empirical studies. The journal also publishes state-of-the-art review articles.