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Paper Abstract and Keywords
Presentation 2022-10-07 14:25
A note on Polynomial Software Reliability Models
Siqiao Li, Tadashi Dohi, Hiroyuki Okamura (Hiroshima Univ.) R2022-35
Abstract (in Japanese) (See Japanese page) 
(in English) In this article, we propose two novel non-homogeneous Poisson process (NHPP)-based software reliability models (SRMs), called finite-failure (type-I) local polynomial NHPP-based SRM and infinite-failure (type-II) local polynomial NHPP-based SRM, whose software debug rates are given by a local polynomial function. The local polynomial SRMs enable us to control the goodness-of-fit by changing the polynomial degree. Numerical examples with 8 software fault count time-interval data are devoted to compare our local polynomial NHPP-based SRMs with the well-known existing NHPP-based SRMs in terms of goodness-of-fit performances.
Keyword (in Japanese) (See Japanese page) 
(in English) software reliability models / non-homogeneous Poisson processes / local polynomial debug rate / maximum likelihood estimation / goodness-of-fit performance / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 203, R2022-35, pp. 19-24, Oct. 2022.
Paper # R2022-35 
Date of Issue 2022-09-30 (R) 
ISSN 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 R2022-35

Conference Information
Committee R  
Conference Date 2022-10-07 - 2022-10-07 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) Reliability of Information Communication System, Reliability General 
Paper Information
Registration To R 
Conference Code 2022-10-R 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A note on Polynomial Software Reliability Models 
Sub Title (in English)  
Keyword(1) software reliability models  
Keyword(2) non-homogeneous Poisson processes  
Keyword(3) local polynomial debug rate  
Keyword(4) maximum likelihood estimation  
Keyword(5) goodness-of-fit performance  
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Keyword(7)  
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1st Author's Name Siqiao Li  
1st Author's Affiliation Hiroshima University (Hiroshima Univ.)
2nd Author's Name Tadashi Dohi  
2nd Author's Affiliation Hiroshima University (Hiroshima Univ.)
3rd Author's Name Hiroyuki Okamura  
3rd Author's Affiliation Hiroshima University (Hiroshima Univ.)
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Speaker Author-1 
Date Time 2022-10-07 14:25:00 
Presentation Time 25 minutes 
Registration for R 
Paper # R2022-35 
Volume (vol) vol.122 
Number (no) no.203 
Page pp.19-24 
#Pages 6 
Date of Issue 2022-09-30 (R) 

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