Abstract
Reproducibility is one of the key characteristics of good science, but hard to achieve for experimental disciplines like Internet measurements and networked systems. This guide provides advice to researchers, particularly those new to the field, on designing experiments so that their work is more likely to be reproducible and to serve as a foundation for follow-on work by others.
Type
Publication
ACM SIGCOMM Computer Communication Review
Vaibhav Bajpai
Anna Brunstrom
Anja Feldmann
Wolfgang Kellerer
Aiko Pras
Henning Schulzrinne
Georgios Smaragdakis
Matthias Wählisch
