The Dagstuhl Beginners Guide to Reproducibility for Experimental Networking Research
Research output: Contribution to journal › Research article › Contributed
Contributors
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.
Details
Original language | English |
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Pages (from-to) | 24-30 |
Number of pages | 7 |
Journal | ACM SIGCOMM computer communication review |
Volume | 49 |
Issue number | 1 |
Publication status | Published - Jan 2019 |
Peer-reviewed | No |
External IDs
ORCID | /0000-0002-3825-2807/work/142241904 |
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Keywords
Research priority areas of TU Dresden
DFG Classification of Subject Areas according to Review Boards
Subject groups, research areas, subject areas according to Destatis
Sustainable Development Goals
ASJC Scopus subject areas
Keywords
- Experimental networking research, Guidance, Internet measurements, Reproducibility, Reproducibility, Reproducible research