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| Presentation | 2018-05-25 15:30 Bayesian Interval Estimation of Optimal Software Release Time Based on a Discretized NHPP Model Shinji Inoue (Kansai Univ.), Shigeru Yamada (Tottori Univ.)  R2018-4 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | We discuss an approach for obtaining interval estimation of optimal software release time which is derived by a discretized software reliability growth model. The discretized software reliability growth model has a consistency with an actual collecting activity of discrete software fault-count data and is expected to conduct highly-accurate assessment of software reliability. The interval estimation must be useful for conducting software reliability assessment and flexible software management with their uncertainty because most of software reliability data are incomplete. We apply the Gibbs sampling method, which is one of the Markov chain Monte Carlo (MCMC) method, for sampling from the full conditional posterior distribution of the model parameters. The full conditional posterior distribution can be derived by following the Bayes' theory. The probability distributions of optimal software release time can be obtained through this procedures. Further, we show numerical examples of our approach by using actual fault count data. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Software reliability growth model / Software reliability assessment / Discretized model / Interval estimation / Markov chain Monte Carlo method / Optimal software release problem / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 64, R2018-4, pp. 19-24, May 2018. | |
| Paper # | R2018-4 | |
| Date of Issue | 2018-05-18 (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 | R2018-4 |
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| Conference Information | |
| Committee | R |
| Conference Date | 2018-05-25 - 2018-05-25 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Aichi Institute of Technology, Motoyama Campus |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Software Reliability, Overall reliability engineering |
| Paper Information | |
| Registration To | R |
| Conference Code | 2018-05-R |
| Language | English (Japanese title is available) |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Bayesian Interval Estimation of Optimal Software Release Time Based on a Discretized NHPP Model |
| Sub Title (in English) | |
| Keyword(1) | Software reliability growth model |
| Keyword(2) | Software reliability assessment |
| Keyword(3) | Discretized model |
| Keyword(4) | Interval estimation |
| Keyword(5) | Markov chain Monte Carlo method |
| Keyword(6) | Optimal software release problem |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Shinji Inoue |
| 1st Author's Affiliation | Kansai University (Kansai Univ.) |
| 2nd Author's Name | Shigeru Yamada |
| 2nd Author's Affiliation | Tottori University (Tottori Univ.) |
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| Speaker | Author-1 |
| Date Time | 2018-05-25 15:30:00 |
| Presentation Time | 25 minutes |
| Registration for | R |
| Paper # | R2018-4 |
| Volume (vol) | vol.118 |
| Number (no) | no.64 |
| Page | pp.19-24 |
| #Pages | 6 |
| Date of Issue | 2018-05-18 (R) |
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