Abstract
The paper deals with the problem of creating a specialized data warehouse for collecting and analyzing experimental results, which relate to system dependability evaluation using fault injections into running programs. The developed data warehouse with embedded data mining capabilities facilitates to identify factors influencing fault susceptibility of analyzed applications. The paper presents the developed system, and illustrates its usefulness with a sample of experimental results.
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Sosnowski, J., Zygulski, P., Gawkowski, P. (2007). Developing Data Warehouse for Simulation Experiments. In: Kryszkiewicz, M., Peters, J.F., Rybinski, H., Skowron, A. (eds) Rough Sets and Intelligent Systems Paradigms. RSEISP 2007. Lecture Notes in Computer Science(), vol 4585. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73451-2_57
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DOI: https://doi.org/10.1007/978-3-540-73451-2_57
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73450-5
Online ISBN: 978-3-540-73451-2
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