Software engineering is increasingly conducted in faster and faster iteration cycles, where new versions and variants of products and services are continuously updated to meet user and market needs. This leads to a tighter connection between development and operation (DevOps), which enables feedback from development and operation of earlier versions to improve future products and services. Key research problems of interest for the project are data collection under preserved user integrity, analyses of large sets of quantitative and natural language data, and presentation of recommendations to developers, for example in the form of visualizations.
The research is conducted in close collaboration with industry, and parts of the work are conducted at the industry sites. The research includes empirical studies and design of methods for software engineering, and data collection and analysis of both quantitative data and natural language information.
Rasmus is part of the Wallenberg Autonomous Systems Program (WASP), under the Software Engineering for Smart Systems project.