Why is there complexity in engineering? A scoping review on complexity origins

Gisela A. Garza Morales, K. Nizamis, G. M. Bonnema
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Abstract

Background: An alternative to the difficulty of defining complexity is to explore its origins. This promising way of dealing with complexity, however, is currently hindered by a major shortcoming. We currently have various perspectives, terms, contexts, complexity study objectives, etc. This impedes consensus and overview of the complexity origins within the systems engineering communityObjective: We explored this variety through a scoping review covering the variety in the complexity terms (RQ1), complexity classifications (RQ2), engineering contexts (RQ3), and complexity study objectives (RQ4).Design: Four online databases were used to identify papers published 2012-2022, from which we selected 72 publications. Included publications had the word "complexity" in their title and abstract and discussed its origins or classifications.Results: We mapped 42 terms referring to complexity origins. We found over 300 classes and subclasses of complexity, which we organized in 31 clusters. We identified 29 engineering contexts interested in complexity origins. Finally, we identified five complexity study objectives, and their mapping showed that less than half the screened papers (31) were concered with identification of complexity origins.Conclusions: While it might not be necessary (or even possible) to have one single term or one single classification, it is currently very difficult to work with the extremely large number of different terms, and classes. Future efforts should also focus on unification, clarification, and standardization of the terminology and the classifications of complexity origins, which can get us closer to reaping the benefits of the already existing contributions.
为什么工程会有复杂性?对复杂性起源的范围界定回顾
背景:定义复杂性的另一种困难是探索其起源。然而,这种处理复杂性的有希望的方法目前受到一个主要缺点的阻碍。我们目前有不同的视角、术语、背景、复杂性研究目标等。这阻碍了对系统工程社区内复杂性起源的共识和概述。目标:我们通过涵盖复杂性术语(RQ1)、复杂性分类(RQ2)、工程背景(RQ3)和复杂性研究目标(RQ4)的范围审查来探索这种多样性。设计:使用四个在线数据库来识别2012-2022年发表的论文,从中我们选择了72篇论文。收录的出版物的标题和摘要中有“复杂性”一词,并讨论了其起源或分类。结果:我们映射了42个涉及复杂性起源的术语。我们发现了300多个复杂的类和子类,我们将它们组织在31个集群中。我们确定了29个对复杂性起源感兴趣的工程背景。最后,我们确定了五个复杂性研究目标,它们的映射表明,不到一半的筛选论文(31)与复杂性起源的识别有关。结论:虽然可能没有必要(甚至不可能)有一个单独的术语或一个单独的分类,但目前很难处理大量不同的术语和类别。未来的努力还应该集中在术语和复杂性起源分类的统一、澄清和标准化上,这可以使我们更接近于获得已经存在的贡献的好处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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