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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SS | 2024-03-07 15:50 |
Okinawa | (Primary: On-site, Secondary: Online) |
 SS2023-58 |
(To be available after the conference date) [more] | SS2023-58 pp.55-60 |
| SS | 2024-03-08 11:00 |
Okinawa | (Primary: On-site, Secondary: Online) |
A study of a method for checking consistency between method comments and the source code explained by those comments using Large-scale Language Model Kotomi Takeda, Masataka Nagura (Nanzan Univ.) SS2023-66 |
(To be available after the conference date) [more] | SS2023-66 pp.103-108 |
| SS | 2024-03-09 10:35 |
Okinawa | (Primary: On-site, Secondary: Online) |
Considerations of an Automatic Feedback Method for a Learner's Editing Source Codes in Programming Exercises
-- Guided Feedback Using Edit Transition Graphs of a Model Answer Program -- Yuki Sawada, Yoshinari Hachisu, Atsushi Yoshida, Hiroaki Kuwabara (Nanzan Univ.) SS2023-78 |
In programming exercises, it is difficult for some learners to complete source codes by themselves. Many researches on a... [more] | SS2023-78 pp.174-179 |
| KBSE | 2024-01-24 15:10 |
Kagoshima | (Primary: On-site, Secondary: Online) |
A Proposal for Source Code Defect Prediction Method Using GraphCodeBERT Yu Saito, Tomoji Kishi (Waseda Univ.) KBSE2023-63 |
(To be available after the conference date) [more] | KBSE2023-63 pp.73-78 |
| SS | 2023-03-15 15:15 |
Okinawa | (Primary: On-site, Secondary: Online) |
Attempt to generate source code using previous token type information Shun Tanaka, Yamamoto Tetsuo (Ryukoku Univ.) SS2022-70 |
In this study, we improve the BeamSearch algorithm used in the machine Learning model. We add an process to the token se... [more] | SS2022-70 pp.139-144 |
| ET | 2023-01-20 13:45 |
Hyogo | Hyogo College of Medicine and Online (Primary: On-site, Secondary: Online) |
ET2022-57 |
Analyses of source codes created by learners are often used to support teaching in programming classes. However, most st... [more] | ET2022-57 pp.5-10 |
| ET | 2022-11-05 13:50 |
Online | Online | Examination of Feedback in Leaning Support System of Interpretation to Function from Behavior Model of Source Code Taiki Matsui, Shintaro Maeda, Kento Koike, Takahito Tomoto (Tokyo Polytechnic Univ) ET2022-35 |
In learning programming, it is important to learn the source code of others, and it is important to consider what functi... [more] | ET2022-35 pp.29-34 |
| 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, MSS | 2022-01-11 10:35 |
Nagasaki | Nagasakiken-Kensetsu-Sogo-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
MSS2021-33 SS2021-20 |
(To be available after the conference date) [more] | MSS2021-33 SS2021-20 pp.13-18 |
| 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 |
| MSS, SS | 2021-01-26 15:05 |
Online | Online | An Implementation of Text-classification Based Fault-prone Module Detection and Its Application to Industrial Environment Osamu Mizuno, Osamu Mizuno (Kyoto Inst. Tech.), Kazuhiro Ishihara (Valtes), Daisuke Yamashita (Valtes Mobile Tech.) MSS2020-32 SS2020-17 |
In the software development, early detection of software defects (bugs) contributes to mitigate the development effort ... [more] |
MSS2020-32 SS2020-17 pp.19-24 |
| 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 |
| LOIS | 2020-03-12 11:30 |
Okinawa | Nobumoto Ohama Memorial Hall (Cancelled but technical report was issued) |
Characterizing Part of Source Code by Combining Syntactic Attributes Ken Nakayama (Tsuda Univ.) LOIS2019-74 |
Locating and understanding parts of source code of interest is one of the primary tasks for a software engineer especial... [more] | LOIS2019-74 pp.103-108 |
| 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 |
| DC, SS | 2019-10-25 10:00 |
Kumamoto | Kumamoto Univ. | Finding groups of similar answers in programming contests with source code metrics. Kosuke Haraguchi, Tetsuya Kanda, Katsuro Inoue (Osaka Univ.) SS2019-21 DC2019-49 |
Many users participate in programming contests to learn algorithm and improve programming skills. In the existing stud... [more] |
SS2019-21 DC2019-49 pp.47-52 |
| NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] | 2019-06-17 15:40 |
Okinawa | Okinawa Institute of Science and Technology | Gaze behavior analysis in source code comprehension through comparison with attention models Kiyoka Ikea (Kyoto Women's Univ.), Takatomi Kubo, Yoshiharu Ikutani, Hideaki Hata, Nishanth Koganti, Takeshi Itoh, Kenichi Matsumoto (NAIST), Yuki Maruno (Kyoto Women's Univ.), Kazushi Ikeda (NAIST) NC2019-7 |
Many gaze behavior analyses have been conducted in order to clarify the programmers’ cognitive processes. However, there... [more] | NC2019-7 p.29 |
| SS | 2019-03-04 11:15 |
Okinawa | SS2018-56 |
(To be available after the conference date) [more] | SS2018-56 pp.25-30 |
|
| SS | 2019-03-05 17:15 |
Okinawa | Towards automatic bug repair for enterprise source code files Sho Ikeda, Daito Nakano, Yasutaka Kamei, Ryosuke Sato, Naoyasu Ubayashi (Kyushu Univ.), Hiroshi Yoshitake, Hirofumi Yagawa (QNET) SS2018-84 |
Research on automatic program repair has been actively conducted for the purpose of improving productivity by shortening... [more] | SS2018-84 pp.193-198 |
|
| DC, SS | 2018-10-05 10:50 |
Aichi | Inuyama City Kokusai-Kanko Center Freud | Masaki Natsume, Yuya Aizawa (Tokyo Tech.), Noritoshi Atsumi (Kyoto U.), Takashi Kobayashi (Tokyo Tech.) SS2018-24 DC2018-25 |
(To be available after the conference date) [more] | SS2018-24 DC2018-25 pp.37-42 |
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