Kazuya Shibata

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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)
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 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)
Blind adaptive linear receivers for direct sequence code-division multiple access (DS-CDMA) system are promising techniques for interference suppression and can be used in the situation where a training sequence is not available. This paper describes a method on blind estimation for the DS-CDMA signal whose temporal signature waveform has intersymbol(More)
To accommodate information streams with different data rates over a direct-sequence code-division multiple-access (DS-CDMA) network is required due to a large variety of information sources, such as voice, data, and images. This paper provides a novel adaptive blind estimating method for dual-rate DS-CDMA signals. The underlying idea is to estimate the(More)
Passive scalar transport is a fundamental problem of a variety of industrial applications. One of the representatives is the fluid mixing process [1], which has been intensively studied as an important physical phenomenon in chemical engineering field. A number of numerical calculations of passive scalar transport problem have been carried out by means of(More)
This study shows a new algorithm for distance spectrum (DS) estimation of turbo codes. We propose fundamental error event whose intervals of the consecutive two non zero inputs are less than the fundamental period. The DS is recursively estimated by some consecutive zero inputs with length of the fundamental period and the combination of fundamental error(More)
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