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Paper Abstract and Keywords
Presentation 2014-05-23 16:45
Software Reliability Models based on Burr XII Distribution
Takahiro Imanaka, Tadashi Dohi (Hiroshima Univ.) R2014-8
Abstract (in Japanese) (See Japanese page) 
(in English) Irving W. Burr (1942) introduced a parametric family of probability distributions which can involve many kinds of shape pattern. Especially, it is well known that the Burr XII distribution posesses non-negative real valued-support and is a general probability distribution which includes the Pareto model as a special case, and the exponential, Weibull and log-logistic distributions by taking the limitation of parameters. Since the Burr XII distribution has the heavy right-tail, it is appropriate to apply for rare event analysis and lifetime analysis. Abdel-Ghaly {it{et al.}} (1997) pointed out the importance of the Burr XII distribution in software reliability assessment and used it for the software fault-detection time distribution in non-homogeneous Poisson process modeling, where they focused on the Bayesian estimation with software fault detection time data. In this article, we reconsider Abdel-Ghaly {it{et al.}}'s work with software fault count data in the maximum likelihood estimation framework, and extend it drastically by introducing an extended Burr XII distribution. When software metrics data characterizing the product size and complexity or the testing progress are available, we propose the regression-based software reliability models. Finally we perform the goodness-of-fit test and refine the software reliability model with the Burr XII distribution.
Keyword (in Japanese) (See Japanese page) 
(in English) software reliability / Burr XII distributions / non-homogeneous Poisson process / maximum likelihood estimation / software metrics / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 47, R2014-8, pp. 41-46, May 2014.
Paper # R2014-8 
Date of Issue 2014-05-16 (R) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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)
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Conference Information
Committee R  
Conference Date 2014-05-23 - 2014-05-23 
Place (in Japanese) (See Japanese page) 
Place (in English)  
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Paper Information
Registration To R 
Conference Code 2014-05-R 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Software Reliability Models based on Burr XII Distribution 
Sub Title (in English)  
Keyword(1) software reliability  
Keyword(2) Burr XII distributions  
Keyword(3) non-homogeneous Poisson process  
Keyword(4) maximum likelihood estimation  
Keyword(5) software metrics  
Keyword(6)  
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Keyword(8)  
1st Author's Name Takahiro Imanaka  
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 2014-05-23 16:45:00 
Presentation Time 25 minutes 
Registration for R 
Paper # R2014-8 
Volume (vol) vol.114 
Number (no) no.47 
Page pp.41-46 
#Pages 6 
Date of Issue 2014-05-16 (R) 

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