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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 28  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
R 2024-02-29
13:20
Shimane   Estimation of the Number of Faults Based on SRGM Considering the Usage Pattern of the Users
Shoichoro Miyamoto, Lei Zhou, Yoshinobu Tamura (Yamaguchi Univ.), Shigeru Yamada (Tottori Univ.) R2023-55
 [more] R2023-55
pp.1-5
R 2024-02-29
17:10
Shimane   Comparison of OSS Reliability Assessment Methods Based on Deep Learning Considering the Wiener and Jump Diffusion Processes
Yoshinobu Tamura, Shoichiro Miyamoto, Lei Zhou (Yamaguchi Univ.), Shigeru Yamada (Tottori Univ.) R2023-63
In many research fields, the methods based on deep learning have been proposed. In this paper, we propose the method of ... [more] R2023-63
pp.46-51
R 2023-07-28
15:30
Hokkaido
(Primary: On-site, Secondary: Online)
Deep Learning Approach for OSS Reliability Assessment Based on Data Preprocessing Considering the Wiener Process
Yoshinobu Tamura (Yamaguchi Univ.), Shigeru Yamada (Tottori Univ.) R2023-16
In many open source software, the development style based on the database of general bug tracking systems is the normal ... [more] R2023-16
pp.33-38
R 2023-03-10
14:25
Hiroshima
(Primary: On-site, Secondary: Online)
Reliability Assessment Method Based on Several OSS Fault Data and Deep Learning
Yoshinobu Tamura (Yamaguchi Univ.), Shigeru Yamada (Tottori Univ.) R2022-51
 [more] R2022-51
pp.19-24
R 2022-11-17
14:00
Online Online Edge Server Optimization Based on Stochastic Differential Equation Models
Kohei Fujita (Yamaguchi Univ.), Yoshinobu Tamura (Yamaguchi univ.), Shigeru Yamada (Tottori univ.) R2022-40
 [more] R2022-40
pp.1-6
R 2020-10-16
13:00
Online Online Flexible Jump Diffusion Process Model for Large Scale OSS Effort Control Considering External Factors from Big Data
Tokubo Shun, Tamura Yosinobu (Tokyo City Univ), Ymada Sigeru (Tottori Univ) R2020-19
As the current status of software services, most of open source software (OSS) is widely used by many companies. Then, i... [more] R2020-19
pp.1-6
R 2020-10-16
13:25
Online Online Comparison of Goodness-of-Fit for the EVM Based on Deep Learning for OSS
Kohjiro Tada, Tamura Yosinobu (Tokyo City Univ), Ymada Sigeru (Tottori Univ) R2020-20
Currently, a lot of open source software are developed. On the other hand, there is a problem that it is difficult to ma... [more] R2020-20
pp.7-12
R 2020-10-16
13:50
Online Online The Estimation of Optimal Maintenance Time Considering GUI Based on Deep Learning
Yanagisawa Taku, Tamura Yosinobu (Tokyo City Univ), Yamada Sigeru (Tottori Univ) R2020-21
Almost all software reliability models have been proposed for the testing phase in software projects. The open source so... [more] R2020-21
pp.13-18
R 2020-07-11
13:50
Online Online Optimum maintenance problem based on stochastic differential equations considering 3V model and Development Effort
Yoshinobu Tamura, Kodai Sugisaki (Tokyo City Univ.), Shigeru Yamada (Tottori Univ.) R2020-7
 [more] R2020-7
pp.13-18
R 2017-07-28
16:25
Hokkaido Wakkanai Sun Hotel Reliability and Maintainability Assessment Tool for Open Source Software Based on Deep Learning
Yoshinobu Tamura (Tokyo City Univ.), Shigeru Yamada (Tottori Univ.) R2017-22
 [more] R2017-22
pp.49-54
R 2017-05-26
13:20
Okayama Purity Makibi A Method of Reliability and Maintainability Assessment for Open Source Software Based on Deep Learning
Yoshinobu Tamura (Tokyo City Univ.), Shigeru Yamada (Tottori Univ.) R2017-3
 [more] R2017-3
pp.13-18
R 2016-07-29
13:55
Hokkaido Otaru Chamber of Commerce and Industry A Fault Data Analysis Tool for Open Source Software
Yoshinobu Tamura, Satoshi Ashida (Yamaguchi Univ.), Mitsuho Matsumoto, Shigeru Yamada (Tottori Univ.) R2016-14
At present, many open source software (OSS) are developed under the open source projects all over the world. Then, the s... [more] R2016-14
pp.7-12
R 2016-05-28
15:15
Aichi WINC AICHI Fault Identification Based on Deep Learning for Open Source Software
Yoshinobu Tamura, Satoshi Ashida (Yamaguchi Univ.), Matsumoto Mitsuho, Shigeru Yamada (Tottori Univ.) R2016-6
 [more] R2016-6
pp.33-38
KBSE, SS, IPSJ-SE [detail] 2015-07-23
15:20
Hokkaido   A Method of Software Reliability Assessment Based on Fault Data Clustering in Cloud Computing Environment with Big Data
Yoshinobu Tamura (Yamaguchi Univ.), Yumi Nobukawa, Shigeru Yamada (Tottori Univ.) SS2015-25 KBSE2015-18
 [more] SS2015-25 KBSE2015-18
pp.119-124
R 2014-05-23
13:30
Aichi   Comparison of Stochastic Differential Equation Models Considering Network Traffic for a Cloud Computing
Yoshinobu Tamura (Yamaguchi Univ.), Kenta Miyaoka, Shigeru Yamada (Tottori Univ.) R2014-1
 [more] R2014-1
pp.1-6
R 2013-10-18
15:00
Fukuoka   Optimal Maintenance Problem Based on Jump Diffusion Model Considering Traffic for a Cloud Computing
Yoshinobu Tamura (Yamaguchi Univ.), Shigeru Yamada (Torrori Univ.) R2013-67
 [more] R2013-67
pp.19-24
R 2013-07-26
13:55
Hokkaido 未定 Jump Diffusion Model Considering Netowrk Traffic and Reliability for a Cloud Computing
Yoshinobu Tamura (Yamaguchi Univ.), Shigeru Yamada (Tottori Univ.) R2013-21
 [more] R2013-21
pp.7-12
R 2013-05-17
14:00
Hiroshima   AIR Application for Reliability Assessment Considering the Influence of Installer for an Embedded Software
Yoshinobu Tamura, Junya Saika (Yamaguchi Univ.), Shiori Yamamoto, Shigeru Yamada (Torrori Univ.) R2013-8
 [more] R2013-8
pp.43-48
R 2011-10-21
15:30
Fukuoka   Hazard Rate Model Considering the Change of Requirements Specification for the Porting Phase of an Embedded OSS
Yoshinobu Tamura (Yamaguchi Univ.), Shigeru Yamada (Tottori Univ.) R2011-31
The successful experience of adopting the distributed development model in such open source projects includes GNU/Linux ... [more] R2011-31
pp.23-28
R 2010-05-28
13:55
Tottori   Reliability Assessment Method Considering Component Importance Levels for an Embedded OSS Porting Phase with Application to Optimal Software Release Problems
Yoshinobu Tamura (Yamaguchi Univ.), Shigeru Yamada (Tottori Univ.) R2010-10
For successful example, OSS (Open Source Software) systems which serve as key components of critical infrastructures in ... [more] R2010-10
pp.19-24
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