机器学习系统开发过程中出现和变化的任务

Hanyan Liu, Samuel Eksmo, Johan Risberg, R. Hebig
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引用次数: 17

摘要

在软件系统中集成机器学习组件是越来越多的公司面临的任务。然而,当这样的组件被集成到软件系统中时,关于软件开发过程需要如何改变的知识今天并不多。我们对16名参与者进行了访谈研究,重点关注新出现和变化的任务。结果揭示了一组与不同软件开发阶段相关的25个任务,例如需求工程或部署。我们刚刚开始理解在软件开发过程中使用机器学习组件的含义。这项研究让我们对所需的过程变更的广泛程度有了初步的了解。
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Emerging and Changing Tasks in the Development Process for Machine Learning Systems
Integrating machine learning components in software systems is a task more and more companies are confronted with. However, there is not much knowledge today on how the software development process needs to change, when such components are integrated into a software system. We performed an interview study with 16 participants, focusing on emerging and changing task. The results uncover a set of 25 tasks associated to different software development phases, such as requirements engineering or deployment. We are just starting to understand the implications of using machine-learning components on the software development process. This study allows some first insights into how widespread the required process changes are.
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