Abstract
In this paper, we discuss the software performance evaluation method considering the real-time property. The time-dependent behavior of the software system itself alternating between up and down states is described by the Markovian software availability model. Assuming that the software system can process the plural tasks simultaneously, we analyze the distribution of the number of tasks whose processes can be complete within a prespecified processing time limit with the infinite server queueing model. We derive several stochastic quantities for software performance measurement considering the real-time property; these are given as the functions of time and the number of debugging activities. Finally, we illustrate several numerical examples of the quantities to investigate the relationship between the software reliability/restoration characteristics and the system performance.
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