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Shared data from a study of measurement uncertainty in fault injection

Raul Barbosa (Institutionen för data- och informationsteknik, Nätverk och system (Chalmers) ) ; Daniel Skarin (Institutionen för data- och informationsteknik, Nätverk och system (Chalmers) ) ; Johan Karlsson (Institutionen för data- och informationsteknik, Nätverk och system (Chalmers) )
Proceedings - International Conference on Distributed Computing Systems p. 284-285. (2010)
[Konferensbidrag, övrigt]

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.



Denna post skapades 2011-03-23. Senast ändrad 2016-07-21.
CPL Pubid: 138285

 

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Institutioner (Chalmers)

Institutionen för data- och informationsteknik, Nätverk och system (Chalmers)

Ämnesområden

Information Technology

Chalmers infrastruktur