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Fingerprint Dive into the research topics where Yasutaka Kamei is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 5 Similar Profiles
Software engineering Engineering & Materials Science
Defects Engineering & Materials Science
Computer software selection and evaluation Engineering & Materials Science
Association rules Engineering & Materials Science
Embedded systems Engineering & Materials Science
Computer software maintenance Engineering & Materials Science
Costs Engineering & Materials Science
Computer programming languages Engineering & Materials Science

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Research Output 2006 2019

1 Citation (Scopus)

A survey of self-admitted technical debt

Sierra, G., Shihab, E. & Kamei, Y., Jun 1 2019, In : Journal of Systems and Software. 152, p. 70-82 13 p.

Research output: Contribution to journalReview article

Costs

DeepJIT: An end-to-end deep learning framework for just-in-time defect prediction

Hoang, T., Khanh Dam, H., Kamei, Y., Lo, D. & Ubayashi, N., May 2019, Proceedings - 2019 IEEE/ACM 16th International Conference on Mining Software Repositories, MSR 2019. IEEE Computer Society, p. 34-45 12 p. 8816772. (IEEE International Working Conference on Mining Software Repositories; vol. 2019-May).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Computer software selection and evaluation
Just in time production
Quality assurance
Neural networks
Defects

Git-based integrated uncertainty manager

Ubayashi, N., Watanabe, T., Kamei, Y. & Sato, R., May 1 2019, Proceedings - 2019 IEEE/ACM 41st International Conference on Software Engineering: Companion, ICSE-Companion 2019. Institute of Electrical and Electronics Engineers Inc., p. 95-98 4 p. 8802863. (Proceedings - 2019 IEEE/ACM 41st International Conference on Software Engineering: Companion, ICSE-Companion 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Managers
uncertainty
manager
software development
Software engineering

GreenBundle: An Empirical Study on the Energy Impact of Bundled Processing

Chowdhury, S. A., Hindle, A., Kazman, R., Shuto, T., Matsui, K. & Kamei, Y., May 2019, Proceedings - 2019 IEEE/ACM 41st International Conference on Software Engineering, ICSE 2019. IEEE Computer Society, p. 1107-1118 12 p. 8811956. (Proceedings - International Conference on Software Engineering; vol. 2019-May).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Benchmarking
Software architecture
Energy utilization
Processing
Mobile devices

IARCH-U/MC: An uncertainty-aware model checker for embracing known unknowns

Ubayashi, N., Kamei, Y. & Sato, R., Jan 1 2019, ICSOFT 2018 - Proceedings of the 13th International Conference on Software Technologies. Maciaszek, L., van Sinderen, M. & Maciaszek, L. (eds.). SciTePress, p. 176-184 9 p. (ICSOFT 2018 - Proceedings of the 13th International Conference on Software Technologies).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Software engineering
Uncertainty