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One-step-ahead MTTF Prediction for Online Software Reliability Monitoring with Bootstrap Scheme
Mitsuhiro Kimura 대한산업공학회 2015 대한산업공학회 추계학술대회논문집 Vol.2015 No.11
This study provides a one-step-ahead software reliability prediction method by MTTF for the next software failure occurrence time in the software testing phase. The method can be an online software reliability monitoring tool. Although the derivation of the one-step-ahead MTTF has been shown in the literature, however in this article, we present the mean of the onestep-ahead MTTF and its confidence intervals by using bootstrap scheme. An actual dataset is analyzed for the demonstration of the proposed method.
Reliability Consideration of a Control System Connected with the Network
Mitsuhiro Imaizumi,Mitsutaka Kimura 대한산업공학회 2015 대한산업공학회 추계학술대회논문집 Vol.2015 No.11
As the Internet technology has developed, not only the information system but also the control system which controls various devices has become connected with the Internet. The operational efficiency of a control system is improved by being connected with the Internet. However, it increases the risk of cyber attacks. This paper considers the optimal policy of a control system connected with the network. The control system consists of N units. If cyber attack cannot be detected, the system becomes failure. If the N-th operating unit cannot finish one process until a time limit T, once the process of system interrupts, and restarts again from the beginning. The mean time to system failure is derived. Further, two optimal policies which minimize the expected cost are discussed. Finally, a numerical example is given.
Optimal Number of Intelligent Nodes of Distributed Communication Processing for a Cloud System
Mitsutaka Kimura,Mitsuhiro Imaizumi,Toshio Nakagawa 대한산업공학회 2015 대한산업공학회 추계학술대회논문집 Vol.2015 No.11
Recently, distributed communication processing for a cloud system has been proposed for the purpose of reduce response time to clients [1, 2, 3, 4]. The cloud system consists of some intelligent nodes as well as a data center. The intelligent node provides client service near clients. The data center manages all of client information and application software. In order to reduce response time to more clients, we had better manage many intelligent nodes. But it has prohibit costs. We propose an optimal policy to reduce the management cost of intelligent nodes. We formulate a stochastic model of a server system with a certain number of intelligent nodes and derive the expected numbers of the replication and of application processing. Further, we derive the cost effectiveness and discuss an optimal number of intelligent nodes to minimize it.
Takayuki Morita,Mitsuhiro Kimura 보안공학연구지원센터 2015 International Journal of Software Engineering and Vol.9 No.2
As our goal, we are interested in estimating the degree of software reliability based on software development project data. It is widely-known that several software development attributes which are measured can be used to evaluate and predict software reliability/quality via multi-variable analyses. In this article, we focus on the data treatment method which is needed prior to the software reliability assessment, since the software development data sets often include missing data. This paper discusses the method of data preparation against missing data and their effectiveness by using the Random Forest as a multi-variable analysis.