フォロー
Masanari Kondo
Masanari Kondo
確認したメール アドレス: ait.kyushu-u.ac.jp - ホームページ
タイトル
引用先
引用先
The impact of feature reduction techniques on defect prediction models
M Kondo, CP Bezemer, Y Kamei, AE Hassan, O Mizuno
Empirical Software Engineering 24, 1925-1963, 2019
1192019
Code cloning in smart contracts: a case study on verified contracts from the ethereum blockchain platform
M Kondo, GA Oliva, ZM Jiang, AE Hassan, O Mizuno
Empirical Software Engineering 25, 4617-4675, 2020
542020
The impact of context metrics on just-in-time defect prediction
M Kondo, DM German, O Mizuno, EH Choi
Empirical software engineering 25, 890-939, 2020
532020
An empirical study of utilization of imperative modules in ansible
S Kokuryo, M Kondo, O Mizuno
2020 IEEE 20Th international conference on software quality, reliability and …, 2020
192020
An empirical study on self-admitted technical debt in modern code review
Y Kashiwa, R Nishikawa, Y Kamei, M Kondo, E Shihab, R Sato, ...
Information and Software Technology 146, 106855, 2022
182022
Pafl: Probabilistic automaton-based fault localization for recurrent neural networks
Y Ishimoto, M Kondo, N Ubayashi, Y Kamei
Information and Software Technology 155, 107117, 2023
72023
An empirical study of issue-link algorithms: which issue-link algorithms should we use?
M Kondo, Y Kashiwa, Y Kamei, O Mizuno
Empirical Software Engineering 27 (6), 136, 2022
72022
Which metrics should researchers use to collect repositories: an empirical study
K Yamamoto, M Kondo, K Nishiura, O Mizuno
2020 IEEE 20th International Conference on Software Quality, Reliability and …, 2020
72020
Towards privacy preserving cross project defect prediction with federated learning
H Yamamoto, D Wang, GK Rajbahadur, M Kondo, Y Kamei, N Ubayashi
2023 IEEE International Conference on Software Analysis, Evolution and …, 2023
62023
Do visual issue reports help developers fix bugs? a preliminary study of using videos and images to report issues on GitHub
H Kuramoto, M Kondo, Y Kashiwa, Y Ishimoto, K Shindo, Y Kamei, ...
Proceedings of the 30th IEEE/ACM International Conference on Program …, 2022
62022
An empirical study of source code detection using image classification
J Hong, O Mizuno, M Kondo
2019 10th International Workshop on Empirical Software Engineering in …, 2019
42019
Exploring the Effect of Multiple Natural Languages on Code Suggestion Using GitHub Copilot
K Koyanagi, D Wang, K Noguchi, M Kondo, A Serebrenik, Y Kamei, ...
2024 IEEE/ACM 21st International Conference on Mining Software Repositories …, 2024
32024
深層学習によるソースコードコミットからの不具合混入予測
近藤将成, 森啓太, 水野修, 崔銀惠
情報処理学会論文誌 59 (4), 1250-1261, 2018
32018
Causal-Effect Analysis using Bayesian LiNGAM Comparing with Correlation Analysis in Function Point Metrics and Effort
M Kondo, O Mizuno, EH Choi
International Journal of Mathematical, Engineering and Management Sciences …, 2018
32018
Just-in-time defect prediction applying deep learning to source code changes
M KONDO, K MORI, O MIZUNO, EH CHOI
情報処理学会論文誌ジャーナル (Web) 59 (4), 1250-1261, 2018
22018
Analysis on causal-effect relationship in effort metrics using Bayesian LiNGAM
M Kondo, O Mizuno
2016 IEEE International Symposium on Software Reliability Engineering …, 2016
22016
When conversations turn into work: a taxonomy of converted discussions and issues in GitHub
D Wang, M Kondo, Y Kamei, RG Kula, N Ubayashi
Empirical Software Engineering 28 (6), 138, 2023
12023
Commit-Based Class-Level Defect Prediction for Python Projects
KY Mon, M Kondo, E Choi, O Mizuno
IEICE TRANSACTIONS on Information and Systems 106 (2), 157-165, 2023
12023
大規模言語モデルを用いた初学者のためのデバッグ作業支援の初期評価
K UTSUNOMIYA, G AKIYAMA, M KONDO, Y KAMEI, N UBAYASHI
電子情報通信学会技術研究報告 (Web) 122 (432 (SS2022 47-73)), 19-24, 2023
12023
Hey APR! Integrate Our Fault Localization Skill: Toward Better Automated Program Repair
K Yamate, M Kondo, Y Kashiwa, Y Kamei, N Ubayashi
2022 IEEE 46th Annual Computers, Software, and Applications Conference …, 2022
12022
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