2014 Fiscal Year Final Research Report
Software reliability models in consideration of the dynamic testing environment for high quality software development
| Project/Area Number |
25750132
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Social systems engineering/Safety system
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| Research Institution | Kobe Gakuin University |
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Principal Investigator |
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| Project Period (FY) |
2013-04-01 – 2015-03-31
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| Keywords | ソフトウェア / 信頼性 / カーネル回帰 / NHPP |
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| Outline of Final Research Achievements |
Software reliability models, such as the Non-Homogeneous Poisson Process model, evaluate the quality characteristics of software from fault count data. In this study, we propose non-parametric estimation methods based on a kernel regression for a proportional intensity model, and utilize software metrics data as well as fault count data. Throughout numerical examples, we have shown that the proposed methods have a higher goodness-of-fit and predictive performance. We have developed a software reliability assessment tool, by using several testing metrics data as well as software fault data observed in the testing phase. Moreover, we have developed an adaptive approach to estimate the optimal preventive rejuvenation schedule which maximizes the steady-state system availability, and discussed an extended warranty service contract covering two types of failures.
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| Free Research Field |
ソフトウェア信頼性工学
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