Research on requirement elicitation model of high-end equipment based on requirement classification under Internet and big data environment
- DOI
- 10.2991/icmmita-16.2016.127How to use a DOI?
- Keywords
- high-end equipment; Internet; requirement elicitation; requirement classification
- Abstract
Currently, Internet and big data as the representative of emerging technologies are widely penetrated into every aspect of the high-end equipment manufacturing industry. Considering the characteristics of multi-source, personalized and potential for high-end equipment, this paper focuses on requirement elicitation in the background of Internet, and proposes a high-end equipment requirement elicitation model based on requirement classification, which stands on the perspective of management to study the high-end equipment requirement elicitation. First, we classify the user's need, and then different technical means are taken orienting different types of needs . In this paper, according to users' master degree of requirement, requirements can be divided into instant user requirement and potential user requirement. For instant user requirement, we design a requirement interaction platform based on Internet; For potential user requirement, a requirement mining model based on the open source information of the Internet is established. Eventually, a complete user requirement program is integrated . In conclusion, the idea of classifying the requirements provides a new perspective on requirement elicitation of high-end equipment.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yu Guo AU - Junting Wu AU - Ke-wei Yang AU - Lixin Yu PY - 2017/01 DA - 2017/01 TI - Research on requirement elicitation model of high-end equipment based on requirement classification under Internet and big data environment BT - Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications PB - Atlantis Press SP - 685 EP - 692 SN - 2352-538X UR - https://doi.org/10.2991/icmmita-16.2016.127 DO - 10.2991/icmmita-16.2016.127 ID - Guo2017/01 ER -