摘要：The Internet of Things (IoT) is a paradigm that facilitates the proliferation of different devices such as sensors and Radio Frequency Identification (RFIDs) for real-time applications such as healthcare and sustainable cities. The growing popularity of IoT opens up new possibilities, and one of the most notable applications is related to the evolving sustainable city paradigm. A sustainable city is normally designed in such a way to consider the environmental impact and a social, economic, and resilient habitat for existing populations without compromising the ability of future generations to experience the same, while the process of managing project requirements is known as requirements management. To design a high-quality project, effective requirements management is imperative. A number of techniques are already available to perform the requirement gathering process, and software developers apply them to collect the requirements. Nevertheless, they are facing many issues in gathering requirements due to a lack of literature on the selection of appropriate methods, which affects the quality of the software. The software design quality can be improved by using requirements capture and management techniques. Some tools are used to comprehend the system accurately. In this paper, a qualitative comparison of requirements-gathering tools using Artificial Intelligence (AI) and requirements-management tools is presented for sustainable cities. With all the tools and techniques available for capturing and managing requirements, it has been proven that software developers have a wide range of alternatives for selecting the best tool that fits their needs, such as chosen by the AI agent. This effort will aid in the development of requirements for IoT-enabled sustainable cities.
