Koichiro Rinsaka

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The black-box approach based on stochastic software reliability models is a simple methodology with only software fault data in order to describe the temporal behavior of fault-detection processes, but fails to incorporate some significant development metrics data observed in the development process. In this paper we develop proportional intensity-based(More)
The software fault correction profiles play significant roles to assess the quality of software testing as well as to keep the good software maintenance activity. In this paper we develop a quantitative method to evaluate the software maintainability based on a stochastic model. The model proposed here is a queueing model with an infinite number of servers,(More)
In this paper, we focus on the optimal software testing/maintenance problem considered in Rinsaka and Dohi (2004), and develop a stochastic model in discrete operation circumstance, under the difference between the software testing environment and the operational environment can be characterized by an environment parameter. More precisely, the total(More)
The traditional software reliability models aim to describe the temporal behavior of software fault-detection processes with only the fault data, but fail to incorporate some significant test-metrics data observed in software testing. In this paper we develop a useful modeling framework to assess the quantitative software reliability with time-dependent(More)
In general, a newly purchased item or system is warranted for a specific period. When the system fails during the warranty period, it is repaired free of charge. Even if the system is repairable, there exists some warranty services under which the manufacturer replaces the failed system during the warranty period. This study considers a case where a(More)
In this paper we develop a novel approach to estimate the optimal preventive rejuvenation schedule which maximizes the steady-state system availability. In the case with unknown system failure time distribution, the preventive rejuvenation is triggered for the purpose of preventive maintenance of software system. We formulate the upper and lower bounds of(More)
In this paper we develop a software reliability assessment tool, called PISRAT: Proportional intensity-based software reliability assessment tool, by using several testing metrics data as well as software fault data observed in the testing phase. The fundamental idea is to use the proportional intensity-based software reliability models proposed by the same(More)
In this paper we develop an adaptive approach to estimate the optimal preventive rejuvenation schedule which maximizes the steady-state system availability. We formulate the upper and lower bounds of the predictive system availability using the one-look ahead predictive survival function from system failure time data, and derive the pessimistic and(More)