


default search action
Reproducibility@SIGCOMM 2017: Los Angeles, CA, USA
- Proceedings of the Reproducibility Workshop, Reproducibility@SIGCOMM 2017, Los Angeles, CA, USA, August 25, 2017. ACM 2017, ISBN 978-1-4503-5060-0

Why is reproducibility so hard?
- Vaibhav Bajpai

, Mirja Kühlewind, Jörg Ott, Jürgen Schönwälder
, Anna Sperotto, Brian Trammell:
Challenges with Reproducibility. 1-4 - Quirin Scheitle, Matthias Wählisch

, Oliver Gasser, Thomas C. Schmidt
, Georg Carle:
Towards an Ecosystem for Reproducible Research in Computer Networking. 5-8 - Marco Canini

, Jon Crowcroft:
Learning Reproducibility with a Yearly Networking Contest. 9-13 - Matthias Flittner, Robert Bauer, Amr Rizk, Stefan Geißler, Thomas Zinner, Martina Zitterbart:

Taming the Complexity of Artifact Reproducibility. 14-16
How reproducible is our research?
- Daniel C. Ferreira, Félix Iglesias Vázquez

, Gernot Vormayr, Maximilian Bachl, Tanja Zseby:
A Meta-Analysis Approach for Feature Selection in Network Traffic Research. 17-20 - Mohamed Naoufal Mahfoudi, Thierry Turletti, Thierry Parmentelat, Walid Dabbous:

Lessons Learned while Trying to Reproduce the OpenRF Experiment. 21-23 - Lucas Nussbaum:

Testbeds Support for Reproducible Research. 24-26

manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.


Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID














