Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Thanwadee Sunetnanta"'
Autor:
Natanon Ritta, Tasha Settewong, Raula Gaikovina Kula, Chaiyong Ragkhitwetsagul, Thanwadee Sunetnanta, Kenichi Matsumoto
Publikováno v:
2022 29th Asia-Pacific Software Engineering Conference (APSEC).
Autor:
Tasha Settewong, Natanon Ritta, Raula Gaikovina Kula, Chaiyong Ragkhitwetsagul, Thanwadee Sunetnanta, Kenichi Matsumoto
Publikováno v:
2022 29th Asia-Pacific Software Engineering Conference (APSEC).
Autor:
Vipawan Jarukitpipat, Klinton Chhun, Wachirayana Wanprasert, Chaiyong Ragkhitwetsagul, Morakot Choetkiertikul, Thanwadee Sunetnanta, Raula Gaikovina Kula, Bodin Chinthanet, Takashi Ishio, Kenichi Matsumoto
Publikováno v:
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering.
Autor:
Pacawat Kangwanwisit, Morakot Choetkiertikul, Chaiyong Ragkhitwetsagul, Thanwadee Sunetnanta, Rungroj Maipradit, Hideki Hata, Kenichi Matsumoto
Publikováno v:
2022 19th International Joint Conference on Computer Science and Software Engineering (JCSSE).
Autor:
Chaiyong Ragkhitwetsagul, Jens Krinke, Morakot Choetkiertikul, Thanwadee Sunetnanta, Federica Sarro
Publikováno v:
2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER).
Publikováno v:
Knowledge Management
Heterogeneity in software requirements has regularly been discussed as a challenging problem, especially in the areas of requirements traceability. In practice, requirements are fundamentally expressed by customers in terms of natural language which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47a19f1973e253584ae6a8e783732ec6
http://www.intechopen.com/articles/show/title/ontological-knowledge-representation-for-resolving-semantic-heterogeneity-in-software-requirements-t
http://www.intechopen.com/articles/show/title/ontological-knowledge-representation-for-resolving-semantic-heterogeneity-in-software-requirements-t
Autor:
Worawit Luewichana, Morakot Choetkiertikul, Krissakorn Pruktharathikoon, Chaiyong Ragkhitwetsagul, Thanwadee Sunetnanta, Jirayus Jiarpakdee, Chaiyakarn Khanan, Chakkrit Tantithamthavorn
Publikováno v:
ASE
Just-In-Time (JIT) defect prediction is a classification model that is trained using historical data to predict bug-introducing changes. However, recent studies raised concerns related to the explain-ability of the predictions of many software analyt
Autor:
Piyanuch Silapachote, Thanwadee Sunetnanta, Ananta Srisuphab, Ponthep Meunpong, Kitipong Tangkit, Nopparat Kaakkurivaara
Publikováno v:
TENCON
Protecting and increasing worldwide green space have been an international effort. Individuals and organizations are encouraged to plant urban trees and to get involved in many reforestation and restoration projects. Offsetting these much needed plan
Autor:
Tattiya Sakulniwat, Raula Gaikovina Kula, Thanwadee Sunetnanta, Purit Phan-udom, Morakot Choetkiertikul, Naruedon Wattanakul, Chaiyong Ragkhitwetsagul
Publikováno v:
ICSME
Pythonic code is idiomatic code that follows guiding principles and practices within the Python community. Offering performance and readability benefits, Pythonic code is claimed to be widely adopted by experienced Python developers, but can be a lea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eac3c5f619abe90003547e8ba8ee7082
http://arxiv.org/abs/2009.03302
http://arxiv.org/abs/2009.03302
Autor:
Thanwadee Sunetnanta, Takashi Ishio, Morakot Choetkiertikul, Thanadon Bunkerd, Chaiyong Ragkhitwetsagul, Kenichi Matsumoto, Raula Gaikovina Kula, Dong Wang
Publikováno v:
IWESEP
Recent studies have shown how software is comparable to natural languages, meaning that source code is highly repetitive and predictable. Other studies have shown the naturalness as indicators for code quality (i.e., buggy code). With the rise of soc