A Discrete Gompertz Equation and a Software Reliability Growth Model
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Information Vol.E83-D No.7 pp.1508-1513
- Publication Date
- 2000/07/25
- Publicized
- Online ISSN
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- Type of Manuscript
- PAPER
- Category
- Software Engineering
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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},}
Copy
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 -
English
