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Paper Abstract and Keywords
Presentation 2009-06-19 14:55
A study on Non-parametric Estimation of Software Reliability
Shintaro Mizoguchi, Tadashi Dohi (Hiroshima Univ.) R2009-21
Abstract (in Japanese) (See Japanese page) 
(in English) In past a huge number of parametric software reliability models have been developed with
the aim of quantitative estimation of software reliability. Since the parametric models
are based on scenarios on fault-detection process in software testing phase, it is difficult
to validate the physical meaning of scenarios themselves assumed in parametric modeling.
Hence, we need to identify the best model from the various points of view by taking account of
parameter estimation, statistical test and model selection. In this article, we improve a
non-parametric order statistics-based software reliability model by Barghout, Littlewood and
Abdel-Ghaly (1998), from the stand points of estimation algorithm and reliability measure.
More specifically, we introduce the kernel density method with a trucated kernel function
and try to estimate the software fault-detection time distribution with higher accuracy. Also,
we use the mean value of the fault-detection time instead of its median and predict the
fault-detection time sequentially. In the validation test with real data, it can be investigated
how the improvement influences the quantitative software reliability assessment.
Keyword (in Japanese) (See Japanese page) 
(in English) software reliability / non-parametric estimation / kernel density estimation / cross validation / prequential likelihood method / recalibration / u-plot / generalized order statistics  
Reference Info. IEICE Tech. Rep., vol. 109, no. 94, R2009-21, pp. 23-28, June 2009.
Paper # R2009-21 
Date of Issue 2009-06-12 (R) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF R2009-21

Conference Information
Committee R  
Conference Date 2009-06-19 - 2009-06-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Kikai-Shinko-Kaikan Bldg. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) System Reliability, etc. 
Paper Information
Registration To R 
Conference Code 2009-06-R 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A study on Non-parametric Estimation of Software Reliability 
Sub Title (in English)  
Keyword(1) software reliability  
Keyword(2) non-parametric estimation  
Keyword(3) kernel density estimation  
Keyword(4) cross validation  
Keyword(5) prequential likelihood method  
Keyword(6) recalibration  
Keyword(7) u-plot  
Keyword(8) generalized order statistics  
1st Author's Name Shintaro Mizoguchi  
1st Author's Affiliation Hiroshima University (Hiroshima Univ.)
2nd Author's Name Tadashi Dohi  
2nd Author's Affiliation Hiroshima University (Hiroshima Univ.)
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Speaker Author-2 
Date Time 2009-06-19 14:55:00 
Presentation Time 25 minutes 
Registration for R 
Paper # R2009-21 
Volume (vol) vol.109 
Number (no) no.94 
Page pp.23-28 
#Pages 6 
Date of Issue 2009-06-12 (R) 

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