论文标题
机器学习的要求工程：审查和反思
Requirements Engineering for Machine Learning: A Review and Reflection
论文作者
论文摘要
如今，许多工业流程正在进行数字化转型，这通常需要在业务流程中整合良好的领域模型和最先进的机器学习技术。但是，要求启发和设计决策制定有关何时，何地和如何将各种领域模型和端到端的机器学习技术正确嵌入给定的业务工作流中，这需要进一步探索。本文旨在概述跨域协作方面的机器学习应用程序的需求工程过程。我们首先回顾有关机器学习需求工程的文献，然后逐步浏览协作需求分析过程。还讨论了一个与上述步骤有关的工业数据驱动情报应用程序的示例。
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.
