Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-9374
Main Title: The Dagstuhl Beginners Guide to Reproducibility for Experimental Networking Research
Author(s): Bajpai, Vaibhav
Brunstrom, Anna
Feldmann, Anja
Kellerer, Wolfgang
Pras, Aiko
Schulzrinne, Henning
Smaragdakis, Georgios
Wählisch, Matthias
Wehrle, Klaus
Type: Article
Language Code: en
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.
URI: https://depositonce.tu-berlin.de/handle/11303/10422
http://dx.doi.org/10.14279/depositonce-9374
Issue Date: Jan-2019
Date Available: 2-Dec-2019
DDC Class: 000 Informatik, Informationswissenschaft, allgemeine Werke
Subject(s): experimental networking research
internet measurements
reproducibility
guidance
Sponsor/Funder: EC/H2020/679158/EU/Resolving the Tussle in the Internet: Mapping, Architecture, and Policy Making/ResolutioNet
License: http://rightsstatements.org/vocab/InC/1.0/
Journal Title: ACM SIGCOMM Computer Communication Review
Publisher: Association for Computing Machinery (ACM)
Publisher Place: New York, NY
Volume: 49
Issue: 1
Publisher DOI: 10.1145/3314212.3314217
Page Start: 24
Page End: 30
EISSN: 1943-5819
ISSN: 0146-4833
Notes: © 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, http://dx.doi.org/10.1145/3314212.3314217.
Appears in Collections:FG Internet Network Architectures (INET) » Publications

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