Requirements engineering for Machine Learning

Markus wrote an interesting article about the topic. Machine
learning (ML) is used increasingly in real-world applications. In
this paper, we describe our ongoing endeavor to define
characteristics and challenges unique to Requirements Engineering
(RE) for ML-based systems. As a first step, we interviewed four
data scientists to understand how ML experts approach elicitation,
specification, and assurance of requirements and expectations. The
results show that changes in the development paradigm, i.e., from
coding to training, also demands changes in RE. Thanks for
listening. We welcome suggestions for topics, criticism and a few
stars on Apple, Spotify and Co. We thank our new partner [Siemens
](https://new.siemens.com/global/en/products/automation/topic-areas/artificial-intelligence-in-industry.html)
Our guest: Markus Borg
([more](https://www.linkedin.com/in/mrksbrg/)) **Shownotes:** The
article Markus mentioned ([more](https://arxiv.org/abs/1908.04674))