Abstract
The development of the Internet and cloud computing has set up a matured environment for developing and deploying big data services. The main objective of requirements engineering for big data is to capture big data service users’ needs and provider’s capabilities, and to identify value added service use cases for big data technology in a given organizational context. Major objectives may include: collect real-time data about the world, search for useful information in large data sets, gain insights about given problems by data analytics, predict possible trend of interesting subjects, and make decisions for the next immediate actions. In this paper, we propose a big data service requirements analysis framework, which aims to provide useful guidelines for eliciting service requirements, selecting the right services architectures and evaluate the available technological services implementations. For services under operation, we suggest data analysis to service logs to elicit user’s changing needs, to evaluate the run-time service performance and to check compliance to general standards and domain-specific regulations. Example cases from eHealth and industry 4.0 are discussed to illustrate the proposed service requirements framework.
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Partial financial support by National Science and Technology Support Program (No. 2015BAH14F02) and the National Natural Science Foundation of China (No. 61432020) are acknowledged.
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Yasin, A., Liu, L., Cao, Z., Wang, J., Liu, Y., Ling, T.S. (2018). Big Data Services Requirements Analysis. In: Kamalrudin, M., Ahmad, S., Ikram, N. (eds) Requirements Engineering for Internet of Things. APRES 2017. Communications in Computer and Information Science, vol 809. Springer, Singapore. https://doi.org/10.1007/978-981-10-7796-8_1
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DOI: https://doi.org/10.1007/978-981-10-7796-8_1
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