Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Fatemeh H. Fard"'
Autor:
Mohammad A Hadi, Fatemeh H. Fard
Publikováno v:
Empirical Software Engineering. 28
Publikováno v:
Automated Software Engineering. 29
Self-Admitted Technical Debt (SATD) is primarily studied in Object-Oriented (OO) languages and traditionally commercial software. However, scientific software coded in dynamically-typed languages such as R differs in paradigm, and the source code com
Publikováno v:
Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension.
A recent study by Ahmed and Devanbu reported that using a corpus of code written in multilingual datasets to fine-tune multilingual Pre-trained Language Models (PLMs) achieves higher performance as opposed to using a corpus of code written in just on
Autor:
Mohammad Abdul Hadi, Imam Nur Bani Yusuf, Ferdian Thung, Kien Gia Luong, Jiang Lingxiao, Fatemeh H. Fard, David Lo
Publikováno v:
Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension.
Developers frequently use APIs to implement certain functionalities, such as parsing Excel Files, reading and writing text files line by line, etc. Developers can greatly benefit from automatic API usage sequence generation based on natural language
Pre-trained neural Language Models (PTLM), such as CodeBERT, are recently used in software engineering as models pre-trained on large source code corpora. Their knowledge is transferred to downstream tasks (e.g. code clone detection) via fine-tuning.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a226ac321ef6d9d939996ba433623e7
http://arxiv.org/abs/2204.08653
http://arxiv.org/abs/2204.08653
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA).
Publikováno v:
Journal of Systems and Software. 190:111336
Autor:
Wan, Yao1 (AUTHOR) wanyao@hust.edu.cn, Bi, Zhangqian1 (AUTHOR) zqbi@hust.edu.cn, He, Yang2 (AUTHOR) yha244@sfu.ca, Zhang, Jianguo3 (AUTHOR) jianguozhang@salesforce.com, Zhang, Hongyu4 (AUTHOR) hyzhang@cqu.edu.cn, Sui, Yulei5 (AUTHOR) y.sui@unsw.edu.au, Xu, Guandong6 (AUTHOR) guandong.xu@uts.edu.au, Jin, Hai1 (AUTHOR) hjin@hust.edu.cn, Yu, Philip7 (AUTHOR) psyu@uic.edu
Publikováno v:
ACM Computing Surveys. Dec2024, Vol. 56 Issue 12, p1-41. 41p.
Publikováno v:
Empirical Software Engineering; Nov2024, Vol. 29 Issue 6, p1-41, 41p