Requirements Engineering for Machine Learning: A Review and Reflection

被引:12
|
作者
Pei, Zhongyi [1 ]
Liu, Lin [1 ]
Wang, Chen [1 ]
Wang, Jianmin [1 ]
机构
[1] Tsinghua Univ, Natl Engn Res Ctr Big Data Software, Sch Software, Beijing, Peoples R China
关键词
requirements engineering; machine learning; domain model; industrial engineering; review;
D O I
10.1109/REW56159.2022.00039
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Today, many industrial processes are undergoing digital transformation, which often requires the integration of well-understood domain models and state-of-the-art machine learning technology in business processes. However, requirements elicitation and design decision making about when, where and how to embed various domain models and end-to-end machine learning techniques properly into a given business workflow requires further exploration. This paper aims to provide an overview of the requirements engineering process for machine learning applications in terms of cross domain collaborations. We first review the literature on requirements engineering for machine learning, and then go through the collaborative requirements analysis process step-by-step. An example case of industrial data-driven intelligence applications is also discussed in relation to the aforementioned steps.
引用
收藏
页码:166 / 175
页数:10
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