Emerging and Changing Tasks in the Development Process for Machine Learning Systems

Abstract

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.