Shared Data from a Study of Measurement Uncertainty in Fault Injection
暂无分享,去创建一个
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.
[1] Johan Karlsson,et al. GOOFI-2: A tool for experimental dependability assessment , 2010, 2010 IEEE/IFIP International Conference on Dependable Systems & Networks (DSN).
[2] Andrea Bondavalli,et al. Foundations of Measurement Theory Applied to the Evaluation of Dependability Attributes , 2007, 37th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN'07).
[3] Johan Karlsson,et al. Comparing and Validating Measurements of Dependability Attributes , 2010, 2010 European Dependable Computing Conference.