Urban environments are urgently required to become smarter to overcome sustainability and resilience challenges whilst remaining economically viable. This involves a vast increase in the penetration of ICT resources, both physical and virtual, with the requirement to factor in built environment, socio-economic and human artefacts. This paper, therefore, proposes a methodology for eliciting, testing, and deploying, requirements in the field of urban cybernetics. This extends best practice requirements engineering principles to meet the demands of this growing niche. The paper follows a case study approach of applying the methodology in the smart water domain, where it achieves positive results. The approach not only heavily utilises iteration alongside domain experts, but also mandates the integration of technical domain experts to ensure software requirements are met. A key novelty of the approach is prioritising a balance between (a) knowledge engineers’ tenacity for logical accuracy, (b) software engineers’ need for speed, simplicity, and integration with other components, and (c) the domain experts’ needs to invoke ownership and hence nurture adoption of the resulting ontology.

中文翻译：

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为智能水系统中的本体收集强大的需求

城市环境迫切需要变得更加智能，以克服可持续性和复原力挑战，同时保持经济可行性。这涉及物理和虚拟 ICT 资源渗透率的大幅提高，需要考虑建筑环境、社会经济和人类人工制品。因此，本文提出了一种用于获取、测试和部署城市控制论领域需求的方法。这扩展了最佳实践需求工程原则，以满足这一不断增长的利基市场的需求。本文遵循了将该方法应用于智能水领域的案例研究方法，并取得了积极的成果。该方法不仅与领域专家一起大量利用迭代，但也要求技术领域专家的整合，以确保满足软件要求。该方法的一个关键新颖之处在于优先考虑 (a) 知识工程师对逻辑准确性的坚持，(b) 软件工程师对速度、简单性和与其他组件集成的需求，以及 (c) 领域专家的需求调用所有权，从而培养对结果本体的采用。