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Paper Abstract and Keywords
Presentation 2010-05-28 14:45
Software Failure Data Analysis with Kernel-based Approaches
Toshio Kaneishi, Tadashi Dohi (Hiroshima Univ.) R2010-12
Abstract (in Japanese) (See Japanese page) 
(in English) The software failure data analysis is used for the reliability
assessment with the software fault information observed in testing
phase. In general it is common to derive the quantitative
software reliability measures such as software reliability by
describing the software fault-detection process via any parametric
family of stochastic point processes. While, since no best
parametric model to represenet every software fault-detection
pattern is known, an effectiveness of non-parametric model is
pointed out in the literature. In this article we evaluate
comprehensively the estimation/prediction accuracy on non-parametric
software reliability models based on non-homogeneous Poisson
processes with several kernel functions and cross-validation methods.
More specifically, we refer to an applicability of these non-parametric
software reliability assessment in experiments with the software
fault data observed in actual software testing.
Keyword (in Japanese) (See Japanese page) 
(in English) Software reliability model / NHtensityPP / Kernel intensity / Kernel density / Non-parametric estimation / Local likelihood method / /  
Reference Info. IEICE Tech. Rep., vol. 110, no. 62, R2010-12, pp. 31-36, May 2010.
Paper # R2010-12 
Date of Issue 2010-05-21 (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 R2010-12

Conference Information
Committee R  
Conference Date 2010-05-28 - 2010-05-28 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To R 
Conference Code 2010-05-R 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Software Failure Data Analysis with Kernel-based Approaches 
Sub Title (in English)  
Keyword(1) Software reliability model  
Keyword(2) NHtensityPP  
Keyword(3) Kernel intensity  
Keyword(4) Kernel density  
Keyword(5) Non-parametric estimation  
Keyword(6) Local likelihood method  
Keyword(7)  
Keyword(8)  
1st Author's Name Toshio Kaneishi  
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-1 
Date Time 2010-05-28 14:45:00 
Presentation Time 25 minutes 
Registration for R 
Paper # R2010-12 
Volume (vol) vol.110 
Number (no) no.62 
Page pp.31-36 
#Pages 6 
Date of Issue 2010-05-21 (R) 

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