TY  - JOUR
A1  - Demir, Nurullah
A1  - Große-Kampmann, Matteo
A1  - Urban, Tobias
A1  - Wressnegger, Christian
A1  - Holz, Thorsten
A1  - Pohlmann, Norbert
T1  - Reproducibility and Replicabillity of Web Measurement Studies
T2  - Proceedings of the ACM Web Conference 2022 (WWW '22), April 25-29, Virtual Event, Lyon, France
N2  - Web measurement studies can shed light on not yet fully understood phenomena and thus are essential for analyzing how the modern Web works. This often requires building new and adjustinng existing crawling setups, which has led to a wide variety of analysis tools for different (but related) aspects. If these efforts are not sufficiently documented, the reproducibility and replicability of the measurements may suffer—two properties that are crucial to sustainable research. In this paper, we survey 117 recent research papers to derive best practices for Web-based measurement studies and specify criteria that need to be met in practice. When applying these criteria to the surveyed papers, we find that the experimental setup and other aspects essential to reproducing and replicating results are often missing. We underline the criticality of this finding by performing a large-scale Web measurement study on 4.5 million pages with 24 different measurement setups to demonstrate the influence of the individual criteria. Our experiments show that slight differences in the experimental setup directly affect the overall results and must be documented accurately and carefully.
Y1  - 2022
UR  - https://whge.opus.hbz-nrw.de/frontdoor/index/index/docId/4399
UR  - https://norbert-pohlmann.com/wp-content/uploads/2022/04/437-Reproducibility-and-Replicability-of-Web-Measurement-Studies-Prof-Norbert-Pohlmann.pdf
ER  -