OPERATIONAL SOFTWARE PERFORMANCE EVALUATION BASED ON THE NUMBER OF DEBUGGINGS WITH TWO KINDS OF RESTORATION SCENARIOS

K. Tokuno and S. Yamada
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K. Tokuno: Department of Social Systems Engineering, Faculty of Engineering, Tottori University, 4-101, Koyama, Tottori-shi 680-8552, Japan
S. Yamada: Department of Social Systems Engineering, Faculty of Engineering, Tottori University, 4-101, Koyama, Tottori-shi 680-8552, Japan

Chapter 18 in Recent Advances in Stochastic Operations Research II, 2009, pp 253-269 from World Scientific Publishing Co. Pte. Ltd.

Abstract: AbstractWe develop the performance evaluation method for the multi-task software system for operational use. In particular, we consider two kinds of restoration scenarios; one involves the debugging activity and the other does not involve the debugging activity. The software reliability growth process and the upward tendency of difficulty in debugging in the dynamic environment is described by the Markovian software availability model. We assume that the cumulative number of tasks arriving at the system follows the homogeneous Poisson process. Then we can formulate the distribution of the number of tasks whose processes can be complete within a prespecified processing time limit with the infinite-server queueing model. From the model, several quantities for software performance measurement considering the real-time property can be derived. These quantities are given as the functions of time and the number of debuggings. Finally, we present several numerical examples of the quantities to analyze the relationship between the software reliability/restoration characteristics and the system performance measurement.

Keywords: Operations Research; Uncertainty; Applied Probability; Stochastic Process; Optimization; Decision Science (search for similar items in EconPapers)
Date: 2009
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