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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 104  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
R 2023-06-15
Tokyo Kikai-Shinko-Kaikan Bldg.
(Primary: On-site, Secondary: Online)
Change-point Detection of Fault Counting Data Based on Anomaly Detection Methodology for Software Reliability Assessment
Shin Danjo, Yuka Minamino, Masashi Kuwano (Tottori Univ), Taku Moriyama (Yokohama City Univ), Shinji Inoue (Kansai Univ) R2023-7
 [more] R2023-7
R 2023-05-27
Aichi Aichi University
(Primary: On-site, Secondary: Online)
R2023-6 In the parameter estimation of non-homogeneous Poisson processes by means of
the maximum likelihood method, the genera... [more]
R 2022-10-07
(Primary: On-site, Secondary: Online)
A note on Polynomial Software Reliability Models
Siqiao Li, Tadashi Dohi, Hiroyuki Okamura (Hiroshima Univ.) R2022-35
In this article, we propose two novel non-homogeneous Poisson process (NHPP)-based software reliability models (SRMs), c... [more] R2022-35
R 2021-11-30
Online Online Safety Analysis for Safety-Related Software Based on a Fault Detection Count Model
Shinji Inoue (Kansai Univ.), Takaji Fujiwara (SRATECH Lab.), Shigeru Yamada (Tottori Univ.) R2021-38
IEC 61508 is widely known as the international standard for the functional safety of electrical/electronic/programmable ... [more] R2021-38
R 2021-07-17
Online Virtual A Software Reliability Assessment Tool with Wavelet Shrinkage Estimation
Jingchi Wu, Tadashi Dohi, Hiroyuki Okamura (Hiroshima Univ.) R2021-18
Wavelet shrinkage estimation is a non-parametric technique to estimate the intensity function in
non-homogeneous Poiss... [more]
R 2021-06-12
Online Online (Zoom) Towards More Accurate Software Bug Prediction: Maximum Likelihood Predictions
Daigo Fujimura, Tadashi Dohi, Hiroyuki Okamura (Hiroshima Univ.) R2021-15
In this note, we consider point prediction methods for the number of software bugs decetced in
the future with the bug... [more]
R 2021-05-28
Online Online Software Framework Design for Machine Learning System Reliability
Mitsunari Kobayashi, Daisuke Komaki (Hitachi) R2021-3
Recently, enterprise software featuring Machine Learning (AI software) has widely adopted. Since behavior of AI software... [more] R2021-3
R 2021-05-28
Online Online Software Reliability Analysis Based on Generalized Nonlinear Yule Processes
Siqiao Li, Tadashi Dohi, Hiroyuki Okamura (Hiroshima Univ.) R2021-7
In this note, we consider two specific software reliability models (SRMs) with nonlinear modification, which are categor... [more] R2021-7
KBSE 2021-03-06
Online Online KBSE2020-46 In recent years, the use of open source software (OSS) in product software has been increasing in the industrial world, ... [more] KBSE2020-46
R 2020-12-11
Online Online Long-term Software Fault Prediction with Wavelet Shrinkage Estimation
Jingchi Wu Hu, Tadashi Dohi, Hiroyuki Okamura (Hiroshima Univ.) R2020-32
Recently, wavelet shrinkage estimation received considerable attentions to estimate stochastic processes such as a non-h... [more] R2020-32
R 2020-10-16
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
R 2019-12-13
Tokyo Kikai-Shinko-Kaikan Bldg. Lindley Type Distributions and Software Reliability Assessment
Qi Xiao, Tadashi Dohi, Hiroyuki Okamura (Hiroshima Univ.) R2019-53
Dennis Victor Lindley proposed an interesting one-parameter continuous probability distribition, which is called Lindley... [more] R2019-53
R 2019-11-28
Osaka Central Electric Club Non-homogeneous Markov Process Modeling for Software Reliability Assessment
Siqiao Li, Tadashi Dohi, Hiroyuki Okamura (Hiroshima U.) R2019-44
In this paper, we focus on non-homogeneous Markov processes, which are generalizations of the well-known non-homogeneous... [more] R2019-44
R 2019-11-28
Osaka Central Electric Club Process-Oriented Software Reliability Modeling with Debugging Difficulties
Shinji Inoue (Kansai Univ.), Shigeru Yamada (Tottori Univ.) R2019-45
We discuss software reliability growth modeling by considering the relationship between the debugging process, which mai... [more] R2019-45
R 2019-10-25
Nagasaki Fukue Culture Center Multiple Change-Point Modeling for Software Reliability Assessment
Shinji Inoue (Kansai Univ.), Shigeru Yamada (Tottori Univ.) R2019-38
We discuss Markovian imperfect debugging modeling for software reliability assessment with multiple changes of testing e... [more] R2019-38
R 2018-10-26
Tokyo Kikai-Shinko-Kaikan Bldg. A Note on Goodness-of-fit Tests for Software Reliability Models
Hiroyuki Okamura, Daisuke Sumida, Tadashi Dohi (Hiroshima Univ.) R2018-34
Software reliability models (SRMs) are the stochastic processes of the number of faults detected in the development phas... [more] R2018-34
R 2018-05-25
Aichi Aichi Institute of Technology, Motoyama Campus Bayesian Interval Estimation of Optimal Software Release Time Based on a Discretized NHPP Model
Shinji Inoue (Kansai Univ.), Shigeru Yamada (Tottori Univ.) R2018-4
We discuss an approach for obtaining interval estimation of optimal software release time which is derived by a discreti... [more] R2018-4
R 2018-05-25
Aichi Aichi Institute of Technology, Motoyama Campus Bootstrap Software Reliability Assessment Method and Its Application to Automotive Software
Keita Sano (AISIN SEIKI), Takaji Fujiwara (SRATECH Lab), Mitsuhiro Kimura (Hosei Univ.) R2018-5
Although automotive software is required to have high reliability in terms of product characteristics, it is becoming di... [more] R2018-5
SS, MSS 2018-01-18
Hiroshima   Deadline Assignment Optimization Method Using Extended Time Petri Nets for Real-Time Multitask Distributed Systems Sharing Processors with EDF Scheduling
Reon Matsuoka, Akio Nakata (Hiroshima City Univ.) MSS2017-56 SS2017-43
In the development of embedded software which requires high reliability satisfaction of hard requirements for both compu... [more] MSS2017-56 SS2017-43
R 2017-07-28
Hokkaido Wakkanai Sun Hotel The Software Failure and Reliability Assessment Tool (SFRAT) -- A Platform to Foster Collaboration --
Vidhyashree Nagaraju, Venkateswaran Shekar (Univ. of Massachusetts Dartmouth), Thierry Wandji (NAVAIR), Lance Fiondella (Univ. of Massachusetts Dartmouth) R2017-19
This paper presents the application architecture of SFRAT, a free and open source application to promote the quantitativ... [more] R2017-19
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