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pro vyhledávání: '"Anh-Hien Dao"'
Autor:
Anh-Hien Dao, Cheng-Zen Yang
Publikováno v:
Mathematics, Vol 9, Iss 14, p 1644 (2021)
The severity of software bug reports plays an important role in maintaining software quality. Many approaches have been proposed to predict the severity of bug reports using textual information. In this research, we propose a deep learning framework
Externí odkaz:
https://doaj.org/article/287a5f940e35401b8819af7fef01d71c
Autor:
Anh-Hien Dao, Cheng-Zen Yang
Publikováno v:
International Journal of Software Engineering and Knowledge Engineering. 33:415-433
The processing priorities for software bug reports are important for software maintenance. Predicting the priorities for bug reports is the subject of many software engineering studies. This study proposes a priority prediction method that uses comme
Publikováno v:
2022 IEEE 2nd International Conference on Software Engineering and Artificial Intelligence (SEAI).
Akademický článek
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Autor:
Minh-Hue Chu, Anh-Hien Dao
Publikováno v:
Proceedings of the Seventh International Conference on Research in Intelligent and Computing in Engineering.
Autor:
Cheng-Zen Yang, Anh-Hien Dao
Publikováno v:
2021 IEEE International Conference on Software Engineering and Artificial Intelligence (SEAI).
Deciding the priority of processing a bug report is an important issue for the efficiency of software bug resolution. Generally, this decision process is labor-consuming because the triager needs considerable time to decide the priority. To mitigate
Publikováno v:
Journal of Information Science & Engineering; May2022, Vol. 38 Issue 3, p665-680, 16p