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Paper Abstract and Keywords
Presentation 2017-07-28 15:25
Sequential prediction of software bug via nonparametric maximum likelihood estimator
Yasuhiro Saito (JCGA), Tadashi Dohi (Hiroshima Univ.) R2017-20
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper we propose sequential prediction methods with nonparametric estimator of non-homogeneous poisson process (NHPP)-based software reliability models to assess software reliability quantitatively with grouped data. Especially, we focus on prediction of the number of software bugs based on a naive estimator or a constrained nonparametric maximum likelihood estimator which is the most typical one in nonparametric estimator. More specifically, we predict the number of software bugs in the next time instant, taking account of the moving average of estimated failure intensity function at present time. Through numerical examples with grouped data which are observed in actual software development projects, it is revealed the superiority of proposed prediction method based on nonparametric estimator compared with parametric ones.
Keyword (in Japanese) (See Japanese page) 
(in English) Software reliability / Non-homogeneous poisson process / Naive estimator / Constrained nonparametric maximum likelihood estimator / Grouped data / Sequential prediction / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 161, R2017-20, pp. 37-42, July 2017.
Paper # R2017-20 
Date of Issue 2017-07-21 (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 R2017-20

Conference Information
Committee R  
Conference Date 2017-07-28 - 2017-07-28 
Place (in Japanese) (See Japanese page) 
Place (in English) Wakkanai Sun Hotel 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To R 
Conference Code 2017-07-R 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Sequential prediction of software bug via nonparametric maximum likelihood estimator 
Sub Title (in English)  
Keyword(1) Software reliability  
Keyword(2) Non-homogeneous poisson process  
Keyword(3) Naive estimator  
Keyword(4) Constrained nonparametric maximum likelihood estimator  
Keyword(5) Grouped data  
Keyword(6) Sequential prediction  
Keyword(7)  
Keyword(8)  
1st Author's Name Yasuhiro Saito  
1st Author's Affiliation Japan Coast Guard Academy (JCGA)
2nd Author's Name Tadashi Dohi  
2nd Author's Affiliation Hiroshima University (Hiroshima Univ.)
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Speaker Author-1 
Date Time 2017-07-28 15:25:00 
Presentation Time 25 minutes 
Registration for R 
Paper # R2017-20 
Volume (vol) vol.117 
Number (no) no.161 
Page pp.37-42 
#Pages 6 
Date of Issue 2017-07-21 (R) 

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