PERFORMANCE ANALYSIS BASED ON THE NUMBER OF DEBUGGINGS FOR SOFTWARE SYSTEM WITH PROCESSING TIME LIMIT USING RELIABILITY GROWTH MODEL

Koichi Tokuno () and Shigeru Yamada ()
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Koichi Tokuno: Graduate School of Engineering, Tottori University, 4-101, Koyama, Tottori-shi, 680-8552, Japan
Shigeru Yamada: Graduate School of Engineering, Tottori University, 4-101, Koyama, Tottori-shi, 680-8552, Japan

Asia-Pacific Journal of Operational Research (APJOR), 2008, vol. 25, issue 06, 765-780

Abstract: We propose the performance evaluation method for the multi-task system with software reliability growth process. The software fault-detection phenomenon in the dynamic environment is described by the Markovian software reliability model with imperfect debugging. 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 and 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 characteristics and the system performance measurement.

Keywords: Performance evaluation; multi-task system; software reliability growth; Markov process; infinite-server queueing model (search for similar items in EconPapers)
Date: 2008
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DOI: 10.1142/S0217595908002000

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