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Assessing (Software) Reliability Growth Using a Random Coefficient Autoregressive Process and Its Ramifications
December 1985 (vol. 11 no. 12)
pp. 1456-1464
| ASCII Text | x | ||
| N.D. Singpurwalla, R. Soyer, "Assessing (Software) Reliability Growth Using a Random Coefficient Autoregressive Process and Its Ramifications," IEEE Transactions on Software Engineering, vol. 11, no. 12, pp. 1456-1464, December, 1985. | |||
| BibTex | x | ||
| @article{ 10.1109/TSE.1985.231889, author = {N.D. Singpurwalla and R. Soyer}, title = {Assessing (Software) Reliability Growth Using a Random Coefficient Autoregressive Process and Its Ramifications}, journal ={IEEE Transactions on Software Engineering}, volume = {11}, number = {12}, issn = {0098-5589}, year = {1985}, pages = {1456-1464}, doi = {http://doi.ieeecomputersociety.org/10.1109/TSE.1985.231889}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - JOUR JO - IEEE Transactions on Software Engineering TI - Assessing (Software) Reliability Growth Using a Random Coefficient Autoregressive Process and Its Ramifications IS - 12 SN - 0098-5589 SP1456 EP1464 EPD - 1456-1464 A1 - N.D. Singpurwalla, A1 - R. Soyer, PY - 1985 KW - software reliability KW - Dynamic linear and nonlinear models KW - Kalman Filtering KW - likelihood ratios KW - predictive distributions KW - prequential analysis KW - random coefficient autoregressive processes KW - reliability growth VL - 11 JA - IEEE Transactions on Software Engineering ER - | |||
In this paper we motivate a random coefficient autoregressive process of order 1 for describing reliability growth or decay. We introduce several ramifications of this process, some of which reduce it to a Kalman Filter model. We illustrate the usefulness of our approach by applying these processes to some real life data on software failures. Finally, we make a pairwise comparison of the models in terms of the ratio of likelihoods of their predictive distributions, and identify the "best" model.
Index Terms:
software reliability, Dynamic linear and nonlinear models, Kalman Filtering, likelihood ratios, predictive distributions, prequential analysis, random coefficient autoregressive processes, reliability growth
Citation:
N.D. Singpurwalla, R. Soyer, "Assessing (Software) Reliability Growth Using a Random Coefficient Autoregressive Process and Its Ramifications," IEEE Transactions on Software Engineering, vol. 11, no. 12, pp. 1456-1464, Dec. 1985, doi:10.1109/TSE.1985.231889
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