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Long-term software fault prediction with wavelet shrinkage estimation
https://hiroshima.repo.nii.ac.jp/records/2007555
https://hiroshima.repo.nii.ac.jp/records/20075555ebeac43-c85c-4564-973f-1013ef10feb0
名前 / ファイル | ライセンス | アクション |
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Item type | デフォルトアイテムタイプ_(フル)(1) | |||||||||||
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公開日 | 2025-01-28 | |||||||||||
タイトル | ||||||||||||
タイトル | Long-term software fault prediction with wavelet shrinkage estimation | |||||||||||
言語 | en | |||||||||||
作成者 |
Wu, Jingchi
× Wu, Jingchi
× Dohi, Tadashi
× Okamura, Hiroyuki
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アクセス権 | ||||||||||||
アクセス権 | embargoed access | |||||||||||
アクセス権URI | http://purl.org/coar/access_right/c_f1cf | |||||||||||
権利情報 | ||||||||||||
言語 | en | |||||||||||
権利情報 | © 2024. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/ | |||||||||||
権利情報 | ||||||||||||
言語 | en | |||||||||||
権利情報 | This is not the published version. Please cite only the published version. | |||||||||||
権利情報 | ||||||||||||
言語 | ja | |||||||||||
権利情報 | この論文は出版社版ではありません。引用の際には出版社版をご確認、ご利用ください。 | |||||||||||
主題 | ||||||||||||
言語 | en | |||||||||||
主題Scheme | Other | |||||||||||
主題 | Software reliability | |||||||||||
主題 | ||||||||||||
言語 | en | |||||||||||
主題Scheme | Other | |||||||||||
主題 | Fault prediction | |||||||||||
主題 | ||||||||||||
言語 | en | |||||||||||
主題Scheme | Other | |||||||||||
主題 | Non-homogeneous Poisson processes | |||||||||||
主題 | ||||||||||||
言語 | en | |||||||||||
主題Scheme | Other | |||||||||||
主題 | Wavelet shrinkage estimation | |||||||||||
主題 | ||||||||||||
言語 | en | |||||||||||
主題Scheme | Other | |||||||||||
主題 | Predictive performance | |||||||||||
主題 | ||||||||||||
言語 | en | |||||||||||
主題Scheme | Other | |||||||||||
主題 | Tool development | |||||||||||
内容記述 | ||||||||||||
内容記述 | Wavelet shrinkage estimation received considerable attentions to estimate stochastic processes such as a non-homogeneous Poisson process in a non-parametric way, and was applied to software reliability estimation/prediction. However, it lacks the prediction ability for unknown future patterns in long term and penalizes assessing the software reliability in practice. In this paper, we focus on the long-term prediction of the number of software faults detected in the testing phase and propose many novel long-term prediction methods based on the wavelet shrinkage estimation. The fundamental idea is to adopt both the denoised fault-count data and prediction values, and to minimize several kinds of loss functions to make effective predictions. We also develop an automated wavelet-based software reliability assessment tool, W-SRAT2, which is a drastic extension of the existing tool, W-SRAT, by adding those prediction algorithms. In numerical experiments with 6 actual software development project data, we investigate the predictive performance of our long-term prediction approaches, which consist of 2,640 combinations, and compare them with the common software reliability growth models with the maximum likelihood estimation. It is shown that our wavelet shrinkage estimation/prediction methods outperform the existing software reliability growth models. | |||||||||||
言語 | en | |||||||||||
内容記述 | ||||||||||||
内容記述タイプ | Other | |||||||||||
内容記述 | This work was supported by JST , the establishment of university fellowships towards the creation of science technology innovation, Grant Number JPMJFS2129. | |||||||||||
言語 | en | |||||||||||
出版者 | ||||||||||||
出版者 | Elsevier | |||||||||||
言語 | en | |||||||||||
言語 | ||||||||||||
言語 | eng | |||||||||||
資源タイプ | ||||||||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||||
資源タイプ | journal article | |||||||||||
出版タイプ | ||||||||||||
出版タイプ | AM | |||||||||||
出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||||||||
関連情報 | ||||||||||||
関連タイプ | isVersionOf | |||||||||||
識別子タイプ | DOI | |||||||||||
関連識別子 | https://doi.org/10.1016/j.jss.2024.112123 | |||||||||||
開始ページ | ||||||||||||
開始ページ | 112123 | |||||||||||
書誌情報 |
en : Journal of Systems and Software 巻 216, p. 112123, 発行日 2024-06-07 |
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旧ID | 56168 | |||||||||||
備考 | The full-text file will be made open to the public on 7 June 2026 in accordance with publisher's 'Terms and Conditions for Self-Archiving |