Research Output per year
Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
- 27 Similar Profiles
Software engineering
Engineering & Materials Science
Software reliability
Engineering & Materials Science
Industry
Engineering & Materials Science
Computer programming languages
Engineering & Materials Science
Computer software reusability
Engineering & Materials Science
Web browsers
Engineering & Materials Science
programming
Social Sciences
Experiments
Engineering & Materials Science
Network
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Research Output 2001 2020
Body of Knowledge Model and Linked Data Applied in Development of Higher Education Curriculum
Quezada-Sarmiento, P. A., Enciso, L., Conde, L., Mayorga-Diaz, M. P., Guaigua-Vizcaino, M. E., Hernandez, W. & Washizaki, H., 2020 Jan 1, Advances in Computer Vision - Proceedings of the 2019 Computer Vision Conference CVC. Kapoor, S. & Arai, K. (eds.). Springer-Verlag, p. 758-773 16 p. (Advances in Intelligent Systems and Computing; vol. 943).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Curricula
Education
Semantic Web
Artificial intelligence
Visualization
An Empirical Study on the Reliability of the Web API Document
Hosono, M., Washizaki, H., Fukazawa, Y. & Honda, K., 2019 May 21, Proceedings - 25th Asia-Pacific Software Engineering Conference, APSEC 2018. IEEE Computer Society, p. 715-716 2 p. 8719480. (Proceedings - Asia-Pacific Software Engineering Conference, APSEC; vol. 2018-December).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Application programming interfaces (API)
Software engineering
Internet
Specifications
Defects
A pattern language for knowledge handover when people transition
Ito, K., Yoder, J. W., Washizaki, H. & Fukazawa, Y., 2019 Jan 1, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer-Verlag, p. 183-209 27 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10600 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Chapter
Pattern Language
Handover
Industry
Knowledge
Personnel
Empirical Study on Specification Metrics to Predict Volatility and Software Defects
Tsunoda, T., Washizaki, H., Fukazawa, Y., Inoue, S., Hanai, Y. & Kanazawa, M., 2019 Feb 22, Proceedings of TENCON 2018 - 2018 IEEE Region 10 Conference. Institute of Electrical and Electronics Engineers Inc., p. 2479-2484 6 p. 8650274. (IEEE Region 10 Annual International Conference, Proceedings/TENCON; vol. 2018-October).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Specifications
Defects
Improved searchability of bug reports using content-based labeling with machine learning of sentences
Noyori, Y., Washizaki, H., Fukazawa, Y., Kanuka, H., Ooshima, K. & Tsuchiya, R., 2019 Jan 1, Knowledge-Based Software Engineering: 2018 - Proceedings of the 12th Joint Conference on Knowledge-Based Software Engineering, JCKBSE 2018. Kumeno, F., Oikonomou, K. & Virvou, M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 75-85 11 p. (Smart Innovation, Systems and Technologies; vol. 108).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Labeling
Learning systems
Machine learning
Stakeholders