{"title":"复杂系统工程中的技术债务","authors":"Yeeun Yang, D. Verma, P. Antón","doi":"10.1002/sys.21677","DOIUrl":null,"url":null,"abstract":"The metaphor of technical debt (TD) is widely adopted in the software engineering field, referring to short‐term compromises in software artifacts in exchange for speed or to meet release schedules or other constraints. The implication is that TDs accumulate over time, and may eventually make rework or maintenance very expensive or even impossible. The analogy is generally applicable in the systems engineering field, particularly concerning numerous program cancellation and obsolescence challenges due to premature decisions made in early acquisition phases. This paper adapts this metaphor of TD to the systems engineering field, and proposes a TD taxonomy to support the early identification and assessment of TD items in engineering complex systems, especially in the early life cycle phases of engineering complex, distributed systems. The taxonomy identifies seven TD types: functionality, performance, interoperability, version conflicts, documentation and support, system evolution, and organic, based on systematic indicators and signs discoverable during early acquisition activities. We expect that the notion and the taxonomy of TD will offer an additional perspective for design decisions that will help mitigate challenging integration and obsolescence issues in the engineering of complex systems.","PeriodicalId":54439,"journal":{"name":"Systems Engineering","volume":"26 1","pages":"590 - 603"},"PeriodicalIF":1.6000,"publicationDate":"2023-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Technical debt in the engineering of complex systems\",\"authors\":\"Yeeun Yang, D. Verma, P. Antón\",\"doi\":\"10.1002/sys.21677\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The metaphor of technical debt (TD) is widely adopted in the software engineering field, referring to short‐term compromises in software artifacts in exchange for speed or to meet release schedules or other constraints. The implication is that TDs accumulate over time, and may eventually make rework or maintenance very expensive or even impossible. The analogy is generally applicable in the systems engineering field, particularly concerning numerous program cancellation and obsolescence challenges due to premature decisions made in early acquisition phases. This paper adapts this metaphor of TD to the systems engineering field, and proposes a TD taxonomy to support the early identification and assessment of TD items in engineering complex systems, especially in the early life cycle phases of engineering complex, distributed systems. The taxonomy identifies seven TD types: functionality, performance, interoperability, version conflicts, documentation and support, system evolution, and organic, based on systematic indicators and signs discoverable during early acquisition activities. We expect that the notion and the taxonomy of TD will offer an additional perspective for design decisions that will help mitigate challenging integration and obsolescence issues in the engineering of complex systems.\",\"PeriodicalId\":54439,\"journal\":{\"name\":\"Systems Engineering\",\"volume\":\"26 1\",\"pages\":\"590 - 603\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2023-04-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Systems Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1002/sys.21677\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Systems Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1002/sys.21677","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}
Technical debt in the engineering of complex systems
The metaphor of technical debt (TD) is widely adopted in the software engineering field, referring to short‐term compromises in software artifacts in exchange for speed or to meet release schedules or other constraints. The implication is that TDs accumulate over time, and may eventually make rework or maintenance very expensive or even impossible. The analogy is generally applicable in the systems engineering field, particularly concerning numerous program cancellation and obsolescence challenges due to premature decisions made in early acquisition phases. This paper adapts this metaphor of TD to the systems engineering field, and proposes a TD taxonomy to support the early identification and assessment of TD items in engineering complex systems, especially in the early life cycle phases of engineering complex, distributed systems. The taxonomy identifies seven TD types: functionality, performance, interoperability, version conflicts, documentation and support, system evolution, and organic, based on systematic indicators and signs discoverable during early acquisition activities. We expect that the notion and the taxonomy of TD will offer an additional perspective for design decisions that will help mitigate challenging integration and obsolescence issues in the engineering of complex systems.
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.