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A Comparative Study of Data Transformations for Wavelet Shrinkage Estimation with Application to Software Reliability Assessment
Joint Authors
Source
Advances in Software Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-05-13
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
In our previous work, we proposed wavelet shrinkage estimation (WSE) for nonhomogeneous Poisson process (NHPP)-based software reliability models (SRMs), where WSE is a data-transform-based nonparametric estimation method.
Among many variance-stabilizing data transformations, the Anscombe transform and the Fisz transform were employed.
We have shown that it could provide higher goodness-of-fit performance than the conventional maximum likelihood estimation (MLE) and the least squares estimation (LSE) in many cases, in spite of its non-parametric nature, through numerical experiments with real software-fault count data.
With the aim of improving the estimation accuracy of WSE, in this paper we introduce other three data transformations to preprocess the software-fault count data and investigate the influence of different data transformations to the estimation accuracy of WSE through goodness-of-fit test.
American Psychological Association (APA)
Xiao, Xiao& Dohi, Tadashi. 2012. A Comparative Study of Data Transformations for Wavelet Shrinkage Estimation with Application to Software Reliability Assessment. Advances in Software Engineering،Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-478555
Modern Language Association (MLA)
Xiao, Xiao& Dohi, Tadashi. A Comparative Study of Data Transformations for Wavelet Shrinkage Estimation with Application to Software Reliability Assessment. Advances in Software Engineering No. 2012 (2012), pp.1-9.
https://search.emarefa.net/detail/BIM-478555
American Medical Association (AMA)
Xiao, Xiao& Dohi, Tadashi. A Comparative Study of Data Transformations for Wavelet Shrinkage Estimation with Application to Software Reliability Assessment. Advances in Software Engineering. 2012. Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-478555
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-478555