Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
SS |
2025-03-11 17:45 |
Kagoshima |
|
Exploring the Impact of Program Flowchart Images on Code Generation Using GPT-4o Yuki Toi, Kazushi Tomoto, Masanari Kondo (Kyushu Univ), Naoyasu Ubayashi (Waseda Univ), Yasutaka Kamei (Kyushu Univ) SS2024-71 |
In recent years, Large Language Models (LLMs) have advanced significantly, leading to the emergence of multimodal LLMs c... [more] |
SS2024-71 pp.164-169 |
SS |
2025-03-12 11:35 |
Kagoshima |
|
Mutation-based Fault Localization for Quantum Programs Yuta Ishimoto, Masanari Kondo (Kyushu Univ.), Naoyasu Ubayashi (Waseda Univ.), Yasutaka Kamei (Kyushu Univ.), Ryota Katsube, Naoto Sato, Hideto Ogawa (Hitachi) SS2024-76 |
Quantum computers perform calculations by leveraging the principles of quantum mechanics. To achieve this, it is necessa... [more] |
SS2024-76 pp.194-199 |
KBSE |
2024-03-15 13:45 |
Okinawa |
Okinawa Prefectual General Welfare Center (Primary: On-site, Secondary: Online) |
An Empirical Study on Self-Admitted Technical Debt in Quantum Software Yuto Nakamura, Yuta Ishimoto (Kyushu Univ.), Ryota Katsube, Naoto Sato, Hideto Ogawa (Hitachi), Masanari Kondo, Yasutaka Kamei, Naoyasu Ubayashi (Kyushu Univ.) KBSE2023-88 |
(To be available after the conference date) [more] |
KBSE2023-88 pp.126-131 |
SS |
2024-03-09 11:00 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Exploring the characteristics of GPT-3.5 modifications for compile errors in university programming education Kaito Utsunomiya, Masanari Kondo, Yasutaka Kamei, Naoyasu Ubayashi (Kyushu Univ.) SS2023-79 |
(To be available after the conference date) [more] |
SS2023-79 pp.180-185 |
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 |
KBSE |
2023-03-17 10:05 |
Hiroshima |
JMS ASTERPLAZA (Primary: On-site, Secondary: Online) |
Towards reducing the risk of OSS adoption with survival analysis Kazushi Tomoto, Hiroki Kuramoto (Kyushu Univ.), Shinobu Saito, Yukako Iimura (NTT), Masanari Kondo, Yasutaka Kamei, Naoyasu Ubayashi (Kyushu Univ.) KBSE2022-61 |
[more] |
KBSE2022-61 pp.43-48 |
KBSE |
2023-03-17 15:00 |
Hiroshima |
JMS ASTERPLAZA (Primary: On-site, Secondary: Online) |
Investigating the Impact of Input Data Order on Automatic Code Generation with GitHub Copilot Kotaro Noguchi, Kei Koyanagi, Masanari Kondo, Yasutaka Kamei, Naoyasu Ubayashi (Kyushu Univ.) KBSE2022-68 |
(To be available after the conference date) [more] |
KBSE2022-68 pp.85-90 |
SS |
2023-03-14 14:10 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Investigation of a Line-Level Bug Prediction Method for Automatic Program Repair Kanta Wada, Hiroki Yamamoto, Morita Issei, Masanari Kondo, Yasutaka Kamei, Naoyasu Ubayashi (Kyushu Univ) SS2022-51 |
[more] |
SS2022-51 pp.25-30 |
SS |
2023-03-14 15:40 |
Okinawa |
(Primary: On-site, Secondary: Online) |
An interactive tool for assisting Dockerfile development Tsukasa Inada, Yuta Ishimoto, Masanari Kondo, Yasutaka Kamei, Naoyasu Ubayashi (Kyudai) SS2022-54 |
(To be available after the conference date) [more] |
SS2022-54 pp.43-48 |
SS, IPSJ-SE, KBSE [detail] |
2022-07-29 13:25 |
Hokkaido |
Hokkaido-Jichiro-Kaikan (Sapporo) (Primary: On-site, Secondary: Online) |
Fault Localization for RNNs Based on Probabilistic Automata and n-grams Yuta Ishimoto, Masanari Kondo, Naoyasu Ubayashi, Yasutaka Kamei (Kyushu Univ.) SS2022-10 KBSE2022-20 |
If deep learning models misbehave, serious accidents may occur.Previous studies have proposed approaches to overcome suc... [more] |
SS2022-10 KBSE2022-20 pp.55-60 |
SS, IPSJ-SE, KBSE [detail] |
2022-07-30 10:55 |
Hokkaido |
Hokkaido-Jichiro-Kaikan (Sapporo) (Primary: On-site, Secondary: Online) |
A Preliminary Study of Self-Admitted Technical Debt in Quantum Programming Yoshisato Nagahama, Masanari Kondo, Yasutaka Kamei, Naoyasu Ubayashi (Kyushu Univ.) SS2022-19 KBSE2022-29 |
[more] |
SS2022-19 KBSE2022-29 pp.109-114 |
SS |
2022-03-07 16:45 |
Online |
Online |
Performance Evaluation of Defect Prediction using Trace Logs Issei Morita, Yutaro Kashiwa, Tsukasa Nakamura, Hiroki Yamamoto, Masanari Kondo, Yasutaka Kamei, Naoyasu Ubayashi (Kyushu Univ.) SS2021-53 |
In order to detect defects at an early stage of software development, techniques for predicting whether or not a change ... [more] |
SS2021-53 pp.66-71 |
SS |
2022-03-07 17:35 |
Online |
Online |
The investigation of the usage of videos and images for bug reports in GitHub Hiroki Kuramoto, Yuta Ishimoto, Kaze Shindo, Masanari Kondo, Yutaro Kashiwa, Yasutaka Kamei, Naoyasu Ubayashi (Kyushu Univ.) SS2021-55 |
Issue reports are a pivotal interface between developers and users for receiving information about bugs
in their produc... [more] |
SS2021-55 pp.78-83 |
SS |
2022-03-08 13:10 |
Online |
Online |
Evaluation of Automatic Program Repair Methods Using Program Editing Histories of Novice Programmers. Haruki Matsuo, Masanari Kondo, Yasutaka Kamei, Yuta Taniguchi, Naoyasu Ubayashi (Kyushu Univ.) SS2021-62 |
Automated Program Repair (APR) is a method of automatically correcting errors in a program without human intervention, a... [more] |
SS2021-62 pp.121-126 |
SS, MSS |
2022-01-12 14:05 |
Nagasaki |
Nagasakiken-Kensetsu-Sogo-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Automatic Parameter Prediction for Add Parameter Refactorings Kazuki Shimizu, Yutaro Kashiwa, Masanari Kondo, Yasutaka Kamei, Naoyasu Ubayashi (Kyushu Univ.) MSS2021-54 SS2021-41 |
(To be available after the conference date) [more] |
MSS2021-54 SS2021-41 pp.130-135 |
SS |
2021-03-03 13:50 |
Online |
Online |
Analysis of the Impact of Automatically Generated Test Cases on the Results of Automatic Bug Repair Yuga Matsuda, Kyosuke Yamate, Yasutaka Kamei, Naoyasu Ubayashi (Kyushu Univ.) SS2020-32 |
In order to reduce debugging costs in software development, there has been a lot of research on automatic program repair... [more] |
SS2020-32 pp.25-30 |
SS |
2021-03-03 15:00 |
Online |
Online |
Performance Evaluation of Automatic Bug Repair using Neural Machine Translation with Bug Fix Histories Gakuto Akiyama, Tsukasa Nakamura, Yasutaka Kamei, Naoyasu Ubayashi (Kyushu Univ.) SS2020-34 |
DeepFix is one of the automatic bug fixing tools.
It repairs syntax errors by embedding errors into error-free programs... [more] |
SS2020-34 pp.37-42 |
SS |
2021-03-03 16:15 |
Online |
Online |
Similar Problem Search Using Deep Learning for Supportintg Programming Education Hiroki Yamamoto, Haruki Matsuo, Kentaro Okino, Yasutaka Kamei, Naoyasu Ubayashi (Kyushu Univ.) SS2020-36 |
In recent years, the demand for programming education has been increasing, and classes on programming have been increasi... [more] |
SS2020-36 pp.49-54 |
SS |
2021-03-04 14:15 |
Online |
Online |
A Reproducibility Support Tool Using Execution Log for Jupyter Notebook Naotoshi Matsubara, Ken Matsui, Naoyasu Ubayashi, Yasutaka Kamei (Kyushu Univ.) SS2020-43 |
Jupyter Notebook is a tool for managing programs, explanatory texts, and execution results, and is widely used in variou... [more] |
SS2020-43 pp.90-95 |
SS |
2020-03-04 13:25 |
Okinawa |
(Cancelled but technical report was issued) |
Supporting OSS Developers to Make and Maintain README.md Files in OSS Projects Kazuki Shimizu, Yasutaka Kamei, Ryosuke Sato, Naoyasu Ubayashi (Kyushu Univ.) SS2019-42 |
In the OSS development projects published on hosting service such as GitHub, README.md files are used to get an overview... [more] |
SS2019-42 pp.7-12 |