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Masanari Kondo Last modified date：2024.04.01

Assistant Professor / Department of Advanced Information Technology
Faculty of Information Science and Electrical Engineering


Graduate School
Department of Advanced information Technology
Graduate School of Information Science and Electrical Engineering
Undergraduate School
Department of Electrical Engineering and Computer Science
School of Engineering


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Homepage
https://kyushu-u.elsevierpure.com/en/persons/masanari-kondo
　Reseacher Profiling Tool　Kyushu University Pure
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Academic Degree
Doctor of Engineering
Country of degree conferring institution (Overseas)
No
Field of Specialization
Software Engineering
Total Priod of education and research career in the foreign country
00years02months
Research
Research Interests
  • Software Engineering
    keyword : Software Repository Mining, Empirical Software Engineering, Software Metrics, Defect Prediction, Remote Work Software Development, Blockchain, Infrastructure as Code, Technical Debt, Debug, fault localization, automated program repair
    2016.04.
Academic Activities
Books
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Reports
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Papers
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1. Masanari Kondo, Yutaro Kashiwa, Yasutaka Kamei, and Osamu Mizuno, An Empirical Study of Issue-Link Algorithms: Which Issue-Link Algorithms Should We Use?, Empirical Software Engineering, https://doi.org/10.1007/s10664-022-10120-x, 27, 2022.07.
2. Just-in-Time Defect Prediction Applying Deep Learning to Source Code Changes.
3. Masanari Kondo, Cor-Paul Bezemer, Yasutaka Kamei, Ahmed E. Hassan, Osamu Mizuno, The impact of feature reduction techniques on defect prediction models, Empirical Software Engineering, 10.1007/s10664-018-9679-5, 24, 4, 1925-1963, 2019.08.
4. Masanari Kondo, Daniel M. German, Osamu Mizuno, Eun-Hye Choi, The impact of context metrics on just-in-time defect prediction, Empirical Software Engineering, 10.1007/s10664-019-09736-3, 25, 1, 890-939, 2020.01.
Presentations
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1. Kei Koyanagi, Dong Wang, Kotaro Noguchi, Masanari Kondo, Alexander Serebrenik, Yasutaka Kamei, Naoyasu Ubayashi, Exploring the Effect of Multiple Natural Languages on Code Suggestion Using GitHub Copilot, The 21st International Conference on Mining Software Repositories (MSR2024), 2024.03.
2. Issei Morita, Yutaro Kashiwa, Masanari Kondo, Jeongju Sohn, Shane McIntosh, Yasutaka Kamei, Naoyasu Ubayashi, TraceJIT: Evaluating the Impact of Behavioral Code Change on JIT Defect Prediction, The IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER2024), 2024.03.
3. Hiroya Watanabe, Masanari Kondo, Eunjong Choi and Osamu Mizuno, Benefits and pitfalls of token-level SZZ: An empirical study on OSS projects, The IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER2024), 2024.03.
4. Hiroki Kuramoto, Masanari Kondo, Yutaro Kashiwa, Yuta Ishimoto, Kaze Shindo, Yasutaka Kamei, Naoyasu Ubayashi, Do Visual Issue Reports Help Developers Fix Bugs? - A Preliminary Study of Using Videos and Images to Report Issues on GitHub -, 30th IEEE/ACM International Conference on Program Comprehension (ICPC 2022 ERA), 2022.05.
Awards
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