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| Presentation | 2019-12-13 15:25 Lindley Type Distributions and Software Reliability Assessment Qi Xiao, Tadashi Dohi, Hiroyuki Okamura (Hiroshima Univ.)  R2019-53 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Dennis Victor Lindley proposed an interesting one-parameter continuous probability distribition, which is called Lindley distribution, in the context of Fiducial and Bayesian statistics. Recently, the Lindley distribution has received considerable attentions and been applied to the life data analysis for several products in stead of the common exponential distribution. In this paper, we propose to use the Lindley distribution and its variations to represent the software fault-detection time distribution, and develop somewhat different non-homogeneous Poisson process (NHPP)-based software reliability models (SRMs). The resulting SRMs are compared with the existing NHPP-based SRMs with the well-known fault-detection time distributions which can be categorized into the exponential family and the extreme distributions. Through numerical examples with the fault count data observed in actual software development projects, we show the usefulness of the Lindley type SRMs. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | software reliability models / non-homogeneous Poisson processes / Lindley distribution / mixture probability distribution / goodness-of-fit performance / predictive performance / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 337, R2019-53, pp. 19-24, Dec. 2019. | |
| Paper # | R2019-53 | |
| Date of Issue | 2019-12-06 (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 | R2019-53 |
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| Conference Information | |
| Committee | R |
| Conference Date | 2019-12-13 - 2019-12-13 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kikai-Shinko-Kaikan Bldg. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | R |
| Conference Code | 2019-12-R |
| Language | English (Japanese title is available) |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Lindley Type Distributions and Software Reliability Assessment |
| Sub Title (in English) | |
| Keyword(1) | software reliability models |
| Keyword(2) | non-homogeneous Poisson processes |
| Keyword(3) | Lindley distribution |
| Keyword(4) | mixture probability distribution |
| Keyword(5) | goodness-of-fit performance |
| Keyword(6) | predictive performance |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Qi Xiao |
| 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-2 |
| Date Time | 2019-12-13 15:25:00 |
| Presentation Time | 25 minutes |
| Registration for | R |
| Paper # | R2019-53 |
| Volume (vol) | vol.119 |
| Number (no) | no.337 |
| Page | pp.19-24 |
| #Pages | 6 |
| Date of Issue | 2019-12-06 (R) |
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