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".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Descrevo um modelo de crescimento de confiabilidade de software que produz estimativas precisas de parâmetros mesmo com uma pequena quantidade de dados de entrada. O modelo é baseado em um análogo discreto proposto de uma equação de Gompertz que possui uma solução exata. A equação diferencial tende a uma equação diferencial na qual é definido o modelo da curva de Gompertz, quando o intervalo de tempo tende a zero. A solução exata também tende à solução exata da equação diferencial quando o intervalo de tempo tende a zero. O modelo discreto conserva as características do modelo de Gompertz porque a equação de diferenças tem uma solução exata. Portanto, o modelo proposto fornece estimativas precisas dos parâmetros, possibilitando prever na fase inicial de teste quando o software poderá ser lançado.
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Daisuke SATOH, "A Discrete Gompertz Equation and a Software Reliability Growth Model" in IEICE TRANSACTIONS on Information,
vol. E83-D, no. 7, pp. 1508-1513, July 2000, doi: .
Abstract: I describe a software reliability growth model that yields accurate parameter estimates even with a small amount of input data. The model is based on a proposed discrete analog of a Gompertz equation that has an exact solution. The difference equation tends to a differential equation on which the Gompertz curve model is defined, when the time interval tends to zero. The exact solution also tends to the exact solution of the differential equation when the time interval tends to zero. The discrete model conserves the characteristics of the Gompertz model because the difference equation has an exact solution. Therefore, the proposed model provides accurate parameter estimates, making it possible to predict in the early test phase when software can be released.
URL: https://global.ieice.org/en_transactions/information/10.1587/e83-d_7_1508/_p
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@ARTICLE{e83-d_7_1508,
author={Daisuke SATOH, },
journal={IEICE TRANSACTIONS on Information},
title={A Discrete Gompertz Equation and a Software Reliability Growth Model},
year={2000},
volume={E83-D},
number={7},
pages={1508-1513},
abstract={I describe a software reliability growth model that yields accurate parameter estimates even with a small amount of input data. The model is based on a proposed discrete analog of a Gompertz equation that has an exact solution. The difference equation tends to a differential equation on which the Gompertz curve model is defined, when the time interval tends to zero. The exact solution also tends to the exact solution of the differential equation when the time interval tends to zero. The discrete model conserves the characteristics of the Gompertz model because the difference equation has an exact solution. Therefore, the proposed model provides accurate parameter estimates, making it possible to predict in the early test phase when software can be released.},
keywords={},
doi={},
ISSN={},
month={July},}
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TY - JOUR
TI - A Discrete Gompertz Equation and a Software Reliability Growth Model
T2 - IEICE TRANSACTIONS on Information
SP - 1508
EP - 1513
AU - Daisuke SATOH
PY - 2000
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E83-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 2000
AB - I describe a software reliability growth model that yields accurate parameter estimates even with a small amount of input data. The model is based on a proposed discrete analog of a Gompertz equation that has an exact solution. The difference equation tends to a differential equation on which the Gompertz curve model is defined, when the time interval tends to zero. The exact solution also tends to the exact solution of the differential equation when the time interval tends to zero. The discrete model conserves the characteristics of the Gompertz model because the difference equation has an exact solution. Therefore, the proposed model provides accurate parameter estimates, making it possible to predict in the early test phase when software can be released.
ER -