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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 33  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SS 2024-03-07
15:25
Okinawa
(Primary: On-site, Secondary: Online)
SS2023-57 While code review plays a crucial role in enhancing software quality, it remains time-consuming. Over the years, various... [more] SS2023-57
pp.49-54
KBSE 2023-03-16
16:45
Hiroshima JMS ASTERPLAZA
(Primary: On-site, Secondary: Online)
A type preview tool in Python for beginner programmers
Masaki Tomoike, Kentaro Okino, Masanari Kondo, Yasutaka Kamei, Naoyasu Ubayashi (Kyushu Univ.) KBSE2022-59
(To be available after the conference date) [more] KBSE2022-59
pp.31-36
SS 2023-03-14
18:25
Okinawa
(Primary: On-site, Secondary: Online)
A feature analysis of merged change requests on a version
Mizuki Uenaka, Akinori Ihara (Wakayama Univ.), Yutaro Kashiwa (NAIST) SS2022-60
Large software development projects have a large number of the source code change requests on a daily basis. Developers ... [more] SS2022-60
pp.79-84
KBSE 2023-01-20
13:00
Ishikawa  
(Primary: On-site, Secondary: Online)
A study for using deep learning inference results of program defects in code review checklists
Kazuhiko Ogawa, Takako Nakatani (OUJ) KBSE2022-51
In system development, various efforts are made to improve the quality of programs.
One of these efforts is code review... [more]
KBSE2022-51
pp.46-51
SS, IPSJ-SE, KBSE [detail] 2022-07-30
10:30
Hokkaido Hokkaido-Jichiro-Kaikan (Sapporo)
(Primary: On-site, Secondary: Online)
The Use of Review Effort Objective for Search-based Refactoring Recommendation
Lei Chen, Shinpei Hayashi (Tokyo Tech) SS2022-18 KBSE2022-28
Search-based refactoring is to search for a sequence of refactorings that achieves a specific objective. Although a typi... [more] SS2022-18 KBSE2022-28
pp.103-108
KBSE 2022-03-09
16:20
Online Online (Zoom) Code review support and verification of effectiveness using deep learning with images of programs
Kazuhiko Ogawa, Takako Nakatani (OUJ) KBSE2021-49
Code review is one of the ways to improve the quality of programs.
Code reviews cannot point out all faults, but if rev... [more]
KBSE2021-49
pp.48-53
SS 2022-03-07
10:55
Online Online Automating code review based on source code
Akihito Ihara, Toshiki Hirao (NAIST), Kenji Fujiwara (TCU), Hajimu Iida (NAIST) SS2021-43
Code review is an important process to assess software quality, where developers manually find bugs, improve existing co... [more] SS2021-43
pp.7-12
ET 2022-03-04
11:25
Online Online Research to visualize the process of Thinking with ICT
Yuu Hiraguchi (Hiroshima Univ), Kazuaki Yoshihara (Fukuyama Univ), Kenji Watanabe (Hiroshima Univ) ET2021-57
In this study, we conducted practical research using Information and Communication Technology (ICT) in order to visualiz... [more] ET2021-57
pp.37-42
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
DC, SS 2020-10-19
16:25
Online Online A Prototype Tool to Predict Comment Line Positions for Code Review
Toshihiro Kamiya (Shimane Univ.) SS2020-12 DC2020-29
Comments in source code play an important role in code comprehension.
This paper presents a method and its prototype to... [more]
SS2020-12 DC2020-29
pp.43-48
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
CS 2019-11-01
09:20
Kagoshima Kirishima-Hotel Mobile Terminal Collaborated MIMO Communications Exploiting Higher-Frequency Bands
Hidekazu Murata (Kyoto Univ.) CS2019-66
Mobile terminal collaborated multiple-input multiple-output (MIMO) reception is a form of distributed MIMO transmission,... [more] CS2019-66
pp.21-26
RCS, AP
(Joint)
2018-11-21
13:40
Okinawa Okinawa Industry Support Center [Tutorial Lecture] From Turbo Equalization to Lossy Forwarding: Our Footprint
Tadashi Matsumoto, Meng Cheng, Shen Qian (JAIST) RCS2018-202
A goal of this talk is to provide audience with the knowledge about the relationship between turbo equalization and the ... [more] RCS2018-202
p.141
RCS, SR, SRW
(Joint)
2018-02-28
13:20
Kanagawa YRP [Tutorial Lecture] A Tutorial on Lossy Forwarding Relaying
Shen Qian (JAIST), Jiguang He (UOulu), Meng Cheng (JAIST), Markku Juntti (UOulu), Tad Matsumoto (JAIST/UOulu) RCS2017-333
Lossy decode-and-forward (DF) relaying, also known as lossy forwarding (LF), has attracted much attention since it can s... [more] RCS2017-333
pp.93-98
ET 2018-01-27
13:45
Hyogo Kobe Univ. A code review support tool for introductory refactoring in a programming exercise -- A Trial Practice by revision of examples with incomplete and redundant code in C language --
Yuki Ue, Hiroyuki Tominaga (Kagawa Univ.) ET2017-83
We have proposed a support system for lectures and exercises in turn about information engineering field. The system mai... [more] ET2017-83
pp.19-24
SS, MSS 2018-01-19
17:25
Hiroshima   An Introduction of Source Code Management System for Java Programming Learning Assistant System: JPLAS
Shimpei Matsumoto, Nobuo Hunabiki, Minoru Kuribayashi, Nobuya Ishihara (Okayama Univ.) MSS2017-76 SS2017-63
Continuously, we have developed the Web-based Java Programming Learning Assistant System (JPLAS). JPLAS offers various p... [more] MSS2017-76 SS2017-63
pp.167-172
ISEC, WBS, IT 2017-03-10
10:55
Tokyo TOKAI University Studies on evaluationg system for q-ary linear block codes based on q-input r-output symmetric channels(2)
Kyoshiro Furuya, Kazuhiko Yamaguchi (UEC) IT2016-123 ISEC2016-113 WBS2016-99
Kawashima and Yamaguchi proposed method to compute probability of decoding error of soft decision decoding for q-ary lin... [more] IT2016-123 ISEC2016-113 WBS2016-99
pp.155-160
IT 2015-07-13
10:25
Tokyo Tokyo Institute of Technology Performance evaluation of Irregular Repeat Accumulate codes characterized by Tanner graphs with various degrees
Ryuichi Tatsukawa, Akiko Manada, Hiroyoshi Morita (UEC) IT2015-18
In this paper, we evaluate error-correcting performance of some Irregular Repeat Accumulate (IRA)
codes, a class of Low... [more]
IT2015-18
pp.7-12
CS 2015-07-02
09:45
Okinawa Eef Information Plaza (Kumejima Is.) Power over Data Lines for CAN Using AMI Codes and Its Transmission Characteristics.
Tatsuki Matsushita, Daisuke Umehara, Koichiro Wakasugi (Kyoto Inst. of Tech.) CS2015-10
In-vehicle networks interconnect electronic control units (ECUs) in vehicles.
Controller area network (CAN) is one of s... [more]
CS2015-10
pp.7-12
SC 2015-06-05
15:20
Tokyo National Institute of Informatics 12F 1210/1208 Infrastructure as Code meets IPython notebook to be Literate Computing
Yoshinobu Masatani, Satoshi Yazawa, Shigetoshi Yokoyama, Nobukazu Yoshioka, Kento Aida (NII) SC2015-6
Cloud has put the pressure to rapidly build systems and frequently re-configure services, then Infrastructure as Code ha... [more] SC2015-6
pp.27-32
 Results 1 - 20 of 33  /  [Next]  
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