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Paper Abstract and Keywords
Presentation 2005-05-27 15:20
Parameter Estimation for Trend-Curve-Based Software Reliability Models
Hiroyuki Okamura, Hitoshi Furumura, Tadashi Dohi (Hiroshima Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) The regression model is one of the well-known methods to predict the cumulative number of faults detected in software development phase. The regression models assume that the cumlative number of detected faults is described by a non-linear function of time such as a Gompertz curve or a logistic curve, and essentially represents error between the underlying data and the model. However, applying the regression model directly into counting processes may cause the problem that the accuracy of prediction increases. On the other hand, software reliability models based on non-homogeneous Poisson process (NHPPs) where the mean value can depict the Gompertz or logistic curve. However, the parameter estimation methods for these NHPP-based models have not been developed. In this paper, we revisit the NHPP-based software reliability models with the mean value functions which depict the Gompertz and logistic curves. Especially, the estimation algorithm to compute the maximum likelihood estimates efficiently is developed by using the EM algorithm. Furthermore, comparing between the regression models and the NHPP-based software reliability models, we show the significance of the NHPP-based models in the viewpoint of predictive accuracy.
Keyword (in Japanese) (See Japanese page) 
(in English) Trend curve / Regression model / Gompertz curve / Logistic curve / Finite debugging model / EM algorithm / /  
Reference Info. IEICE Tech. Rep., vol. 105, no. 101, R2005-13, pp. 31-36, May 2005.
Paper # R2005-13 
Date of Issue 2005-05-20 (R) 
ISSN Print edition: ISSN 0913-5685
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Conference Information
Committee R  
Conference Date 2005-05-27 - 2005-05-27 
Place (in Japanese) (See Japanese page) 
Place (in English) Kobe Gakuin Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Softwear Reliability, Reliability Theory, etc. 
Paper Information
Registration To R 
Conference Code 2005-05-R 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Parameter Estimation for Trend-Curve-Based Software Reliability Models 
Sub Title (in English)  
Keyword(1) Trend curve  
Keyword(2) Regression model  
Keyword(3) Gompertz curve  
Keyword(4) Logistic curve  
Keyword(5) Finite debugging model  
Keyword(6) EM algorithm  
Keyword(7)  
Keyword(8)  
1st Author's Name Hiroyuki Okamura  
1st Author's Affiliation Hiroshima University (Hiroshima Univ.)
2nd Author's Name Hitoshi Furumura  
2nd Author's Affiliation Hiroshima University (Hiroshima Univ.)
3rd Author's Name Tadashi Dohi  
3rd Author's Affiliation Hiroshima University (Hiroshima Univ.)
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Speaker Author-1 
Date Time 2005-05-27 15:20:00 
Presentation Time 25 minutes 
Registration for R 
Paper # R2005-13 
Volume (vol) vol.105 
Number (no) no.101 
Page pp.31-36 
#Pages
Date of Issue 2005-05-20 (R) 


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