The Software Reliability Model Based on Fractals-Reference-Cited by-同舟云学术

The Software Reliability Model Based on Fractals

Published:2010 Issue:2 Volume:E93-D Page:376-379
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

CAO Yong¹,ZHU Qingxin¹

Affiliation:

1. University of Electronic Science and Technology of China

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

http://www.jstage.jst.go.jp/article/transinf/E93.D/2/E93.D_2_376/_pdf

Reference5 articles.

1. [1] B.D. Hughes, E.W. Montroll, and M.F. Shlesinger, “Fractal random walks,” J. Statistical Physics, vol.28, no.1, May 1982.

2. [2] J.D. Musa, Software Reliability Data, technical report available from Data Analysis Center for Software, Rome Air Development Center, New York, 1979.

3. [3] N.D. Singpurwalla and R. Soyer, “Assessing (software) reliability growth using a random coefficient autoregressive process and its ramifications,” IEEE Trans. Softw. Eng., vol.SE-11, no.12, pp.1456-1464, 1985.

4. [4] T.M. Khoshgoftaar and R.M. Szabo, “Investigating ARIMA models of software system quality,” Softw. Qual. J., vol.4, no.1, pp.33-48, March 1995.

5. [5] L. Zhang, Study of the Time Series Forecasting Algorthim and System Realization Based on the ARIMA Model, Master's thesis, Jiangsu University, July 2008.

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2. The Software Reliability Model Using Hybrid Model of Fractals and ARIMA;IEICE Transactions on Information and Systems;2010