The Dagstuhl beginners guide to reproducibility for experimental networking research

Author:

Bajpai Vaibhav1,Brunstrom Anna2,Feldmann Anja3,Kellerer Wolfgang1,Pras Aiko4,Schulzrinne Henning5,Smaragdakis Georgios6,Wählisch Matthias7,Wehrle Klaus8

Affiliation:

1. TU Munich

2. Karlstad University

3. MPI for Informatics

4. University of Twente

5. Columbia University

6. TU Berlin

7. Freie Universität Berlin

8. RWTH Aachen University

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.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Software

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