Presentation | 2009-05-29 A study on software reliability assessment based on a wavelet Xiao XIAO, Tadashi DOHI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Recently the wavelet analysis has been frequently used for not only image processing and signal processing but also time series analysis with high speed and accuracy requirements. In this article we apply a wavelet-based estimation method with the Haar-Fisz transform to estimation of non-homogeneous Poisson processes, and develop a novel software reliability assessment method. There are mainly two advantages for use of the wavelet-based estimation: (i) it does need no parametric assumptions on the software debugging scenario and (ii) the computational overhead arising in goodness-of-fit and prediction tests is rather small since the fitting procedure of data is quite easy and simple. Finally, we show through validation tests with real software fault data that our wavelet-based non-parametric estimation method can provide higher estimation performances than the conventional maximum likelihood estimation and the least squares estimation to estimate the number of detected software faults per testing date. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | software reliability / wavelet analysis / non-homogeneous Poisson process / goodness-of-fit test / non-stationary time series analysis |
Paper # | R2009-9 |
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Conference Information | |
Committee | R |
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Conference Date | 2009/5/22(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Reliability(R) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A study on software reliability assessment based on a wavelet |
Sub Title (in English) | |
Keyword(1) | software reliability |
Keyword(2) | wavelet analysis |
Keyword(3) | non-homogeneous Poisson process |
Keyword(4) | goodness-of-fit test |
Keyword(5) | non-stationary time series analysis |
1st Author's Name | Xiao XIAO |
1st Author's Affiliation | Department of Information Engineering, Graduate School of Engineering, Hiroshima University() |
2nd Author's Name | Tadashi DOHI |
2nd Author's Affiliation | Department of Information Engineering, Graduate School of Engineering, Hiroshima University |
Date | 2009-05-29 |
Paper # | R2009-9 |
Volume (vol) | vol.109 |
Number (no) | 67 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |