Shared Data from a Study of Measurement Uncertainty in Fault Injection

R. Barbosa, D. Skarin, J. Karlsson
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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.
故障注入测量不确定性研究中的共享数据
实验可靠性研究通常产生的数据量远远大于研究论文或技术报告所能提供的数据量。出于这个原因,作者将结果浓缩成更简洁的形式,以便传达他们的信息。由于大量原始数据未被探索,共享这些数据可以让其他团队发现更多的事实(以及将结果与其他研究进行比较)。在之前的论文中,我们研究了使用三种不同的断层注入技术获得的测量结果的不确定度来源。得到的实验数据在AMBER原始数据存储库中共享。本文对研究进行了概述,并对共享数据进行了进一步的探索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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