Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ICDCSW.2010.68 | Distributed Computing Systems Workshops |
Keywords | Field | DocType |
data analysis,AMBER raw data repository,fault injection,measurement uncertainty | Histogram,Data mining,Dependability,Experimental data,Computer science,Raw data,Measurement uncertainty,Fault injection,Technical report | Conference |
ISSN | ISBN | Citations |
1545-0678 | 978-1-4244-7471-4 | 0 |
PageRank | References | Authors |
0.34 | 3 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Raul Barbosa | 1 | 110 | 19.08 |
| Daniel Skarin | 2 | 24 | 2.26 |
| Johan Karlsson | 3 | 305 | 25.29 |