This paper has been submitted to CCR. This is a draft version of the paper that has not been peer-reviewed. Comments on the paper are encouraged through the comment facility at the bottom of this page before December 15th, 2017.
Damien Saucez, Luigi Iannone
Ensuring the reproducibility of results is an essential part of experimental sciences, including computer networking. Unfortunately, as highlighted recently, a large portion of research results are hardly, if not at all, reproducible, raising reasonable lack of conviction on the research carried out around the world.
Recent years have shown an increasing awareness about reproducibility of results as an essential part of research car- ried out by members of the ACM SIGCOMM community. To address this important issue, ACM has introduced a new policy on result and artifact review and badging. The policy defines the terminology to be used to assess results and artifacts but does not specify the review process or how to make research reproducible.
During SIGCOMM’17 a side workshop has been organized with the specific purpose to tackle the issue. The objective being to trigger discussion and activity in order to craft recommendations on how to introduce incentives for authors to share their artifacts, and the details on how to use them, as well as defining the process to be used.
This editorial overviews the workshop activity and summarizes the main discussions and outcomes.