Online edition: ISSN 2432-6380
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SS2021-42
(See Japanese page.)
pp. 1 - 6
SS2021-43
Automating code review based on source code
Akihito Ihara, Toshiki Hirao (NAIST), Kenji Fujiwara (TCU), Hajimu Iida (NAIST)
pp. 7 - 12
SS2021-44
Trace Ablation and Fault Localization per Method Using Machine Learning Models for Automatic Classification of Test Execution Results
Takuma Ikeda, Kozo Okano, Shinpei Ogata (Shinshu Univ.), Shin Nakajima (NII)
pp. 13 - 18
SS2021-45
Bug Prediction using Partial Results of Software Testing
Ryoichi Hirose, Akito Monden (Okayama Univ.), Masateru Tunoda (Kinki Univ.), Mariko sasakura, Kinari Nishiura (Okayama Univ.)
pp. 19 - 24
SS2021-46
(See Japanese page.)
pp. 25 - 30
SS2021-47
A Method to Generate a CCS Process from Algebraic Data Transfer Architecture Model
Shinji Kageyama, Naoya Nitta (Konan Univ.)
pp. 31 - 36
SS2021-48
reversible debugging for a parallel programming language by contract annotations
Takashi Ikeda, Shoji Yuen (Nagoya Univ.)
pp. 37 - 42
SS2021-49
Learning Assumptions for Compositional Verification of Timed Systems with Tree Queries
Kotaro Niimi, Shoji Yuen (Nagoya Univ)
pp. 43 - 48
SS2021-50
Project-domain adaptation with RoBERTa Model for Code Completion
Daisuke Fukumoto, Toshiki Hirao (NAIST), Kenji Fujiwara (TCU), Hajimu Iida (NAIST)
pp. 49 - 53
SS2021-51
An algorithm for determining the existence of weakly appropriate data publishing policies in the relational data exchange framework
Seiya Aizaki, Yasunori Ishihara (Nanzan Univ.)
pp. 54 - 59
SS2021-52
Experimental Evaluation of Software Project Data Recovery from Data Fragments
Masaki Nishiwaki, Akito Monden, Mariko Sasakura, Kinari Nishiura (Okayama Univ.)
pp. 60 - 65
SS2021-53
Performance Evaluation of Defect Prediction using Trace Logs
Issei Morita, Yutaro Kashiwa, Tsukasa Nakamura, Hiroki Yamamoto, Masanari Kondo, Yasutaka Kamei, Naoyasu Ubayashi (Kyushu Univ.)
pp. 66 - 71
SS2021-54
(See Japanese page.)
pp. 72 - 77
SS2021-55
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.)
pp. 78 - 83
SS2021-56
Extracting Optimal Query Keywords from Bug Report for IR-based Bug Localization
Kazuki Hayashi, Takashi Kobayashi (Tokyo Tech.)
pp. 84 - 89
SS2021-57
Experimental Evaluation of Inferring Software Description Using Project Corpus
Kohei Terakawa, Chen Sinan, Masahide Nakamura (Kobe Univ.)
pp. 90 - 96
SS2021-58
Japanese Version of EARS to Eliminate Ambiguity in Requirements Specification Documents
Taiga Miyazaki, Seiya Kitano, Motoshi Saeki (Nanzan Univ.)
pp. 97 - 102
SS2021-59
Dynamic Graph Based Visualization to Combine Sequence and Object Diagrams
Aki Hongo, Naoya Nitta (Konan Univ.)
pp. 103 - 108
SS2021-60
(See Japanese page.)
pp. 109 - 114
SS2021-61
Automatic Refactoring to Improve Readability in Scratch
Masahiro Kiuchi, Erina Makihara, Rei Wakamatsu, Keiko Ono (Doshisha Univ)
pp. 115 - 120
SS2021-62
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.)
pp. 121 - 126
SS2021-63
(See Japanese page.)
pp. 127 - 132
SS2021-64
Multiple Feature Analysis for Problem Recommendation in Online Judge System
Noah Sembu, Erina Makihara, Ryota Shinhama, Keiko Ono (Doshisha Univ.)
pp. 133 - 138
SS2021-65
Automatic Hint Recommendation Method Using Extraction of Strategy Structure in Source Codes for Programming Exercises
Yuto Shimazaki, Erina Makihara, Rei Wakamatsu, Keiko Ono (Doshisha Univ.)
pp. 139 - 144
SS2021-66
An evaluation of the correlation between task characteristics and input data size in Scientific Workflows
Taichi Sugimura, Tahahiro Koita (Graduate School of Doshisha Univ.)
pp. 145 - 150
SS2021-67
Developing a Platform for the Digitalization of Cognitive Screening Tests Based on Drawing Process
Ryukichi Sekimoto (Kobe Univ.), Sachio Saiki (KUT), Masahide Nakamura (Kobe Univ.), Naoki Kodama (NUHW), Atsushi Sato (GCH)
pp. 151 - 156
SS2021-68
Applying a medium-term prediction method for the number of heat stroke victims to medium-sized local governments
Tetsuya Nakai (Kobe Univ.), Sachio Saiki (Kochi tech.), Masahide Nakamura (Kobe Univ.)
pp. 157 - 162
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.