Requirements Engineering for Machine Learning: Perspectives from Data Scientists

Understand

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.