The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Kebolehpercayaan perisian ialah keupayaan perisian untuk melaksanakan fungsi yang diperlukan di bawah keadaan yang dinyatakan untuk tempoh masa yang dinyatakan. Dalam makalah ini, metodologi hibrid yang menggabungkan kedua-dua model ARIMA dan fraktal dicadangkan untuk memanfaatkan kekuatan unik ARIMA dan fraktal dalam pemodelan linear dan bukan linear. Berdasarkan eksperimen yang dilakukan ke atas data kebolehpercayaan perisian yang diperoleh daripada literatur, adalah diperhatikan bahawa kaedah kami berkesan melalui perbandingan dengan kaedah lain dan idea baru untuk penyelidikan mekanisme kegagalan perisian dibentangkan.
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Salinan
Yong CAO, Qingxin ZHU, "The Software Reliability Model Using Hybrid Model of Fractals and ARIMA" in IEICE TRANSACTIONS on Information,
vol. E93-D, no. 11, pp. 3116-3119, November 2010, doi: 10.1587/transinf.E93.D.3116.
Abstract: The software reliability is the ability of the software to perform its required function under stated conditions for a stated period of time. In this paper, a hybrid methodology that combines both ARIMA and fractal models is proposed to take advantage of unique strength of ARIMA and fractal in linear and nonlinear modeling. Based on the experiments performed on the software reliability data obtained from literatures, it is observed that our method is effective through comparison with other methods and a new idea for the research of the software failure mechanism is presented.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E93.D.3116/_p
Salinan
@ARTICLE{e93-d_11_3116,
author={Yong CAO, Qingxin ZHU, },
journal={IEICE TRANSACTIONS on Information},
title={The Software Reliability Model Using Hybrid Model of Fractals and ARIMA},
year={2010},
volume={E93-D},
number={11},
pages={3116-3119},
abstract={The software reliability is the ability of the software to perform its required function under stated conditions for a stated period of time. In this paper, a hybrid methodology that combines both ARIMA and fractal models is proposed to take advantage of unique strength of ARIMA and fractal in linear and nonlinear modeling. Based on the experiments performed on the software reliability data obtained from literatures, it is observed that our method is effective through comparison with other methods and a new idea for the research of the software failure mechanism is presented.},
keywords={},
doi={10.1587/transinf.E93.D.3116},
ISSN={1745-1361},
month={November},}
Salinan
TY - JOUR
TI - The Software Reliability Model Using Hybrid Model of Fractals and ARIMA
T2 - IEICE TRANSACTIONS on Information
SP - 3116
EP - 3119
AU - Yong CAO
AU - Qingxin ZHU
PY - 2010
DO - 10.1587/transinf.E93.D.3116
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E93-D
IS - 11
JA - IEICE TRANSACTIONS on Information
Y1 - November 2010
AB - The software reliability is the ability of the software to perform its required function under stated conditions for a stated period of time. In this paper, a hybrid methodology that combines both ARIMA and fractal models is proposed to take advantage of unique strength of ARIMA and fractal in linear and nonlinear modeling. Based on the experiments performed on the software reliability data obtained from literatures, it is observed that our method is effective through comparison with other methods and a new idea for the research of the software failure mechanism is presented.
ER -