Proceedings of the International Conference on Internet of Things and Cloud Computing 2016
DOI: 10.1145/2896387.2896439
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Requirement Engineering Technique for Smart Spaces

Abstract: A smart space is an increasingly important application of Internet of Things (IoT), which is being developed throughout the world for different purposes ranging from home automation to smart grids. However, a common approach for requirement capture and specification at an abstract level is needed in smart space development that is independent of the continuously changing technology. To provide a systematic process, the standard software engineering practices can be used in the smart space development, and henc… Show more

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Cited by 10 publications
(12 citation statements)
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“…In this way, the PSS is supposed to provide a crowd control and management strategy that can inform, restrict, and route the pilgrims to less crowded areas. In our previous work [8], the smart space models, application scenarios, and descriptions are developed for Masjid Al-Haram. The identified actors, use cases, and their interaction are illustrated through UML Use Case models (an example is shown in Figure 1).…”
Section: Model Of a Hypothetical Smart Spacementioning
confidence: 99%
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“…In this way, the PSS is supposed to provide a crowd control and management strategy that can inform, restrict, and route the pilgrims to less crowded areas. In our previous work [8], the smart space models, application scenarios, and descriptions are developed for Masjid Al-Haram. The identified actors, use cases, and their interaction are illustrated through UML Use Case models (an example is shown in Figure 1).…”
Section: Model Of a Hypothetical Smart Spacementioning
confidence: 99%
“…To elicit and capture the requirements of developing a smart space, this work utilizes the requirement engineering technique for smart spaces [8]. The presented technique [7] allows the requirement gathering during smart space development in a systematic way.…”
Section: Components Identificationmentioning
confidence: 99%
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