Markovian software availability measurement based on the number of restoration actions

Markovian software availability measurement based on the number of restoration actions

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Article ID: iaor20011753
Country: Japan
Volume: E83-A
Issue: 5
Start Page Number: 835
End Page Number: 841
Publication Date: May 2000
Journal: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Authors: ,
Keywords: measurement, markov processes
Abstract:

In this paper, we construct a software availability model considering the number of restoration actions. We correlate the failure and restoration characteristics of the software system with the cumulative number of corrected faults. Furthermore, we consider an imperfect debugging environment where the detected faults are not always corrected and removed from the system. The time-dependent behavior of the system alternating between up and down states is described by a Markov process. From this model, we can derive quantitative measures for software availability assessment considering the number of restoration actions. Finally, we show numerical examples of software availability analysis.

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