Abstract
Information architecture is particularly important for cloud platforms. This article first obtains the conventional functions of the cloud platform through research, and then makes the function points into cards, recruits users to participate in open card classification, and obtains grouped data. Through the cluster analysis method, the function points are appropriately grouped and named through the tree diagram to obtain the information architecture of the cloud platform. In terms of evaluating information architecture, this article first explores the probability of function points appearing in each group through the closed card classification method, and obtains the probability table of function point classification. Then, through the completion rate of the situational task, iterate continuously until a satisfactory design result is obtained. The research method of the paper provides a design mode for subsequent product iteration.
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Acknowledgement
Project supported by the Foundation for Innovative Research Groups of the National Natural Science Foundation of China (Grant No.51775108).
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Hu, J., Zhang, Z., Xia, Z. (2021). Design and Optimization of Information Architecture of NGC Cloud Platform. In: Ahram, T.Z., Karwowski, W., Kalra, J. (eds) Advances in Artificial Intelligence, Software and Systems Engineering. AHFE 2021. Lecture Notes in Networks and Systems, vol 271. Springer, Cham. https://doi.org/10.1007/978-3-030-80624-8_54
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DOI: https://doi.org/10.1007/978-3-030-80624-8_54
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