Paper Abstract and Keywords |
Presentation |
2021-05-28 15:25
Software Reliability Analysis Based on Generalized Nonlinear Yule Processes Siqiao Li, Tadashi Dohi, Hiroyuki Okamura (Hiroshima Univ.) R2021-7 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this note, we consider two specific software reliability models (SRMs) with nonlinear modification, which are categorized into generalized Yule processes. They are called the geometric Yule process (GYP)and power-law Yule process (PYP). The GYP is a generalization of the well-known continuous-time Markov chain-based SRM by Moranda (1975), where the software fault-detection rate is given by a multiplication of the state-dependent term with geometric decay effect and the time-dependent term. The state-dependent term of the software fault-detection rate in the PYP is replaced by a power-law decay effect. We estimate the model parameters by means of the maximum likelihood estimation, provided that the software fault-detection time-interval (group) data are given, and compare them with the existing non-homogeneous Poisson process (NHPP)-based SRMs and generalized linear Yule process-based SRMs. In numerical examples with the real software fault count data, we investigate the goodness-of-fit performances of our proposed SRMs. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
software reliability models / generalized nonlinear Yule processes / software fault-detection rate / goodness-of-fit performance / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 121, no. 47, R2021-7, pp. 35-40, May 2021. |
Paper # |
R2021-7 |
Date of Issue |
2021-05-21 (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) |
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R2021-7 |
Conference Information |
Committee |
R |
Conference Date |
2021-05-28 - 2021-05-28 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Software Reliability, Reliability General |
Paper Information |
Registration To |
R |
Conference Code |
2021-05-R |
Language |
English (Japanese title is available) |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Software Reliability Analysis Based on Generalized Nonlinear Yule Processes |
Sub Title (in English) |
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Keyword(1) |
software reliability models |
Keyword(2) |
generalized nonlinear Yule processes |
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software fault-detection rate |
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goodness-of-fit performance |
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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 |
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Hiroshima University (Hiroshima Univ.) |
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Speaker |
Author-1 |
Date Time |
2021-05-28 15:25:00 |
Presentation Time |
25 minutes |
Registration for |
R |
Paper # |
R2021-7 |
Volume (vol) |
vol.121 |
Number (no) |
no.47 |
Page |
pp.35-40 |
#Pages |
6 |
Date of Issue |
2021-05-21 (R) |
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