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The Dagstuhl Beginners Guide to Reproducibility for Experimental Networking Research

Bajpai, Vaibhav; Brunstrom, Anna; Feldmann, Anja; Kellerer, Wolfgang; Pras, Aiko; Schulzrinne, Henning; Smaragdakis, Georgios; Wählisch, Matthias; Wehrle, Klaus

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.
Published in: ACM SIGCOMM Computer Communication Review, 10.1145/3314212.3314217, Association for Computing Machinery (ACM)
  • © Owner/Author | ACM 2019 This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in ACM SIGCOMM Computer Communication Review,