| IEICE Technical Committee Submission System Conference Schedule |
Online Proceedings [Sign in] Tech. Rep. Archives |
All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| R | 2022-10-07 14:25 |
Fukuoka | (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 pp.19-24 |
| ET | 2021-12-11 14:35 |
Online | Online | Proposal of a Method for Constructing a Cognitive Process Model during Debugging Based on Gaze Analysis Kohei Yoshimori, Toru Kano, Takako Akakura (TUS) ET2021-37 |
The purpose of this study is to propose a debugging learning support for novice programmers using the gaze behavior of e... [more] | ET2021-37 pp.47-52 |
| KBSE, IPSJ-SE, SS [detail] | 2021-07-08 14:50 |
Online | Online (Zoom) | Research for using image analysis of program fault by deep learning for code review. Kazuhiko Ogawa, Takako Nakatani (OUJ) SS2021-6 KBSE2021-18 |
In order to predict the location of faults in a program, we imaged the source code of the defective program and verified... [more] | SS2021-6 KBSE2021-18 pp.31-36 |
| KBSE | 2021-03-06 13:40 |
Online | Online | Research for finding faults in Programs using object detection algorithm by CNN-BI system Kazuhiko Ogawa, Takako Nakatani (OUJ) KBSE2020-45 |
In order to predict the location of program faults, we generated images the source code of a faulty program and trained ... [more] | KBSE2020-45 pp.65-70 |
| KBSE | 2021-03-06 15:10 |
Online | Online | Software Bug Severity Prediction with BERT
-- Case Study on a Large-scale Enterprise System -- Tomoki Yamada, Takako Nakatani (OUJ) KBSE2020-47 |
This paper aims to automatically assess the severity of software bug reports issued from a large-scale enterprise system... [more] | KBSE2020-47 pp.77-82 |
| KBSE | 2020-03-07 13:30 |
Okinawa | Tenbusu-Naha (Cancelled but technical report was issued) |
Research for improving the accuracy of program fault detection by CNN-BI system Kazuhiko Ogawa, Takako Nakatani (OUJ) KBSE2019-58 |
Many researchers have done much research to improve software quality.One way to improve the quality of a program is to i... [more] | KBSE2019-58 pp.73-78 |
| R | 2019-11-28 14:35 |
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 pp.13-18 |
| R | 2019-10-25 14:00 |
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 pp.1-6 |
| R | 2017-05-26 12:30 |
Okayama | Purity Makibi | Markovian Modeling for Software Reliability Assessment with Change-Point Shinji Inoue (Kansai Univ.), Shigeru Yamada (Tottori Univ.) R2017-1 |
We discuss Markovian software reliability modeling with the effect of change-point and imperfect debugging environment f... [more] | R2017-1 pp.1-6 |
| R | 2017-05-26 16:20 |
Okayama | Purity Makibi | [Invited Talk]
A Summary of Elementary Software Reliability Modeling Shigeru Yamada (Tottori Univ.) R2017-9 |
Software reliability is one of the most important characteristics of software quality. Its measurement and management te... [more] | R2017-9 pp.49-56 |
| SS | 2017-03-10 09:15 |
Okinawa | Detecting Anormal Power Consumption in a Concurrent of Android Application Takahiro Inagaki, Shoji Yuen (Nagoya Univ.) SS2016-74 |
We propose a method for an automatic detection of the power consumption problem in concurrent execution of Android appli... [more] | SS2016-74 pp.85-90 |
|
| SS | 2016-03-10 14:15 |
Okinawa | Using Word2Vec in Localizing Relevant Files for Bug Reports Yukiya Uneno, Osamu Mizuno (Kyoto Inst. Tech.), Eun-Hye Choi (AIST) SS2015-85 |
Once a fault in software is reported, developers have to determine which source files are related to the fault. This pro... [more] | SS2015-85 pp.55-60 |
|
| ET | 2014-03-08 11:20 |
Kochi | Kochi National College of Technology | Fundamental Harmonics Learning Support Method for Beginner using a Tablet-Device
-- Development of Erroneous Answer Generation Functions Based on Bug Model -- Ryohei Nagata, Kohei Miura, Yukihiro Matsubara, Masaru Okamoto (Hiroshima City Univ.) ET2013-110 |
In recent years, self-study of basic music theory have been noted by university of music and general education. In thi... [more] |
ET2013-110 pp.107-112 |
| SS, MSS | 2014-01-31 14:25 |
Aichi | Design and Implementation of the tool for bug prediction at the change level Shutaro Tanaka, Kazuhiro Yamashita, Yasutaka Kamei, Naoyasu Ubayashi (Kyushu Univ.) MSS2013-70 SS2013-67 |
Some previous studies show that bug prediction at the change-level (i.e., bug prediction for a commit to version control... [more] | MSS2013-70 SS2013-67 pp.113-118 |
|
| KBSE | 2013-03-14 10:05 |
Tokyo | Shibaura Institute of Technology | Verification of Program Defects Based on Model Checking Techniques for Development
-- Stable Checking with Inspection Support Tool -- Yoshitaka Aoki (Nihon Unisys), Saeko Matsuura (Shibaura Inst. of Tech.) KBSE2012-69 |
In the development site, difficult defects of detecting occurs when Miss inadequate requirements definition and implem... [more] | KBSE2012-69 pp.1-6 |
| SS | 2012-03-13 16:45 |
Okinawa | Tenbusu-Naha | An Empirical Study of Bug Prediction for Software Changes Yasutaka Kamei, Naoyasu Ubayashi (Kyushu Univ.) SS2011-72 |
To clarify the effects of bug prediction for software changes,this paper experimentally evaluates the performance of bug... [more] | SS2011-72 pp.91-96 |
| SS | 2010-03-08 15:20 |
Kagoshima | Kagoshima Univ. | Empirical Evaluation of Bug Density Prediction Model to Low Granularity Modules Yasutaka Kamei, Shinsuke Matsumoto, Akito Monden, Ken-ichi Matsumoto (NAIST) SS2009-72 |
To clarify the effects of bug module prediction on integration test,this paper experimentally evaluates the performance ... [more] | SS2009-72 pp.145-150 |
| KBSE | 2009-11-27 14:10 |
Shimane | Shimane Univ. | A Method for Detecting Defects in Source Codes Using Model Checking Techniques Yoshitaka Aoki, Saeko Matsuura (Shibaura Inst. of Tech.) KBSE2009-44 |
The programs made by the developer who doesn't correctly understand the specifications include unexpected bugs, so that ... [more] | KBSE2009-44 pp.79-84 |
| SS | 2008-03-03 16:05 |
Nagasaki | Nagasaki Univ. | A Web Application Bi-Execution Model for a Framework Preventing Amazon-Bug Ryota Mizuno, Keigo Imai, Ryo Suetsugu, Nobuyuki Kaneko (Nagoya Univ.), Shinichiro Yamamoto (Aichi Prefectural Univ.), Kiyoshi Agusa (Nagoya Univ.) SS2007-67 |
In this paper, we propose a model for a method that detects and handles phenomenon called Amazon-Bug runtime. To prevent... [more] | SS2007-67 pp.61-66 |
| R | 2006-05-26 15:00 |
Tokushima | University of Tokushima | Can we estimate parameters of imperfect-debugging models? Hiroyuki Okamura, Tetsuya Sakoh, Tadashi Dohi (Hiroshima Univ.) |
In the area of software reliability assessment based on statistical modeling, it is important to estimate whether detect... [more] | R2006-11 pp.25-30 |
[Return to Top Page]