1 research outputs found
Continuous data-driven software engineering – towards a research agenda
The rapid pace with which software needs to be built, together with the
increasing need to evaluate changes for end users both quantitatively
and qualitatively calls for novel software engineering approaches that
focus on short release cycles, continuous deployment and delivery,
experiment-driven feature development, feedback from users, and rapid
tool-assisted feedback to developers. To realize these approaches there
is a need for research and innovation with respect to automation and
tooling, and furthermore for research into the organizational changes
that support flexible data-driven decision-making in the development
lifecycle. Most importantly, deep synergies are needed between
software engineers, managers, and data scientists. This paper reports on
the results of the joint 5th International Workshop on Rapid Continuous
Software Engineering (RCoSE 2019) and the 1st International
Workshop on Data-Driven Decisions, Experimentation and Evolution
(DDrEE 2019), which focuses on the challenges and potential solutions
in the area of continuous data-driven software engineering