Shared data from a study of measurement uncertainty in fault injection
Övrigt konferensbidrag, 2010

Experimental dependability studies usually produce an amount of data substantially greater than what can be presented in a research paper or a technical report. For this reason, authors condensate the results into more succinct forms that allow them to convey their message. Since a large amount of the original data is left unexplored, sharing it allows other teams to discover additional facts (as well as to compare the results to other studies). In a previous paper, we investigated sources of uncertainty in measurement results obtained using three different fault injection techniques. The resulting experimental data was shared in the AMBER raw data repository. This paper gives an overview of the study and makes an attempt at further exploring the shared data.

Författare

Raul Barbosa

Chalmers, Data- och informationsteknik, Nätverk och system

Daniel Skarin

Chalmers, Data- och informationsteknik, Nätverk och system

Johan Karlsson

Chalmers, Data- och informationsteknik, Nätverk och system

Proceedings - International Conference on Distributed Computing Systems

284-285
978-076954079-5 (ISBN)

Ämneskategorier

Data- och informationsvetenskap

DOI

10.1109/ICDCSW.2010.68

ISBN

978-076954079-5

Mer information

Skapat

2017-10-08