Shared data from a study of measurement uncertainty in fault injection
Conference contribution, 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.

Author

Raul Barbosa

Chalmers, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)

Daniel Skarin

Chalmers, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)

Johan Karlsson

Chalmers, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)

Proceedings - International Conference on Distributed Computing Systems

284-285

Subject Categories

Computer and Information Science

DOI

10.1109/ICDCSW.2010.68

ISBN

978-076954079-5

More information

Created

10/8/2017