Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Susumu Tokumoto"'
Publikováno v:
2023 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92e0a7e6cf2353470c8bc2a255502e82
https://doi.org/10.1109/saner56733.2023.00090
https://doi.org/10.1109/saner56733.2023.00090
Autor:
Koichi Hamada, Tomoyuki Myojin, Satoshi Masuda, Takahiro Toku, Susumu Tokumoto, Kazunori Tsuchiya, Mineo Matsuya, Yasuhiro Ujita, Hideto Ogawa, Fuyuki Ishikawa, Gaku Fujii, Yasuharu Nishi
Publikováno v:
International Journal of Software Engineering and Knowledge Engineering. 30:1589-1606
Significant effort is being put into developing industrial applications for artificial intelligence (AI), especially those using machine learning (ML) techniques. Despite the intensive support for building ML applications, there are still challenges
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9dd85f5dc763d1633d1f3846ebb026f7
https://doi.org/10.1142/s0218194020400227
https://doi.org/10.1142/s0218194020400227
Autor:
Shogo Tokui, Susumu Tokumoto, Akihito Yoshii, Fuyuki Ishikawa, Takao Nakagawa, Kazuki Munakata, Shinji Kikuchi
Systematic techniques to improve quality of deep neural networks (DNNs) are critical given the increasing demand for practical applications including safety-critical ones. The key challenge comes from the little controllability in updating DNNs. Retr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c934f75fb3121e96ad4d850e0a38559
Additional training of a deep learning model can cause negative effects on the results, turning an initially positive sample into a negative one (degradation). Such degradation is possible in real-world use cases due to the diversity of sample charac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6af0e1d4527413c01bc3a2bbea772dcd
Publikováno v:
AITest
There is an increasing demand for quality assurance of machine learning (ML) models as more and more ML applications are investigated in various domains. This means that we need to explicitly take account of the requirements and environmental assumpt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd8f1f3bd974afe3b240e1fdb075fa60
https://doi.org/10.1109/aitest49225.2020.00026
https://doi.org/10.1109/aitest49225.2020.00026
Autor:
Takuki Kamiya, Susumu Tokumoto, Kazuki Munakata, Guodong Li, Hiroaki Yoshida, Indradeep Ghosh, Tadahiro Uehara, Sreeranga P. Rajan
Publikováno v:
IEEE Software. 34:30-37
Fujitsu researchers have developed a methodology to automate testing of industrial-strength embedded software implemented in C or C++. The methodology’s core is a program analysis technique called symbolic execution, which the researchers have cust
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f543611aea669d8614029caf9793635c
https://doi.org/10.1109/ms.2017.3571576
https://doi.org/10.1109/ms.2017.3571576
Autor:
Susumu Tokumoto, Kuniharu Takayama
Publikováno v:
ASE
Test code is becoming more essential to the modern software development process. However, practitioners often pay inadequate attention to key aspects of test code quality, such as bug detectability, maintainability and speed. Existing tools also typi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c210b35b1bdbfae44e390dd856dd14ac
https://doi.org/10.1109/ase.2019.00138
https://doi.org/10.1109/ase.2019.00138
Autor:
Kiyoshi Honda, Supasit Monpratarnchai, Hironori Washizaki, Yoshiaki Fukazawa, Hiromasa Nagumo, Yusuke Nemoto, Kazuki Munakata, Hisanobu Sonoda, Masaki Hosono, Susumu Tokumoto, Takao Nakagawa
Publikováno v:
ICSME
Application Programming Interfaces (APIs) are common in software development to reuse other products. Although the documentation allows API consumers to learn about API usages, it can be unreliable. Here, we investigate the characteristics of inappro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9bc95df5980adacf8ccd8d355a8a6936
https://doi.org/10.1109/icsme.2019.00052
https://doi.org/10.1109/icsme.2019.00052
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030262495
SAFECOMP Workshops
SAFECOMP Workshops
There are unique kinds of uncertainty in implementations constructed by machine learning from training data. This uncertainty affects the strategy and activities for safety assurance. In this paper, we investigate this point in terms of continuous ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2dff1dffff093728f50fad9cca51d57
https://doi.org/10.1007/978-3-030-26250-1_33
https://doi.org/10.1007/978-3-030-26250-1_33
Autor:
Isao Nanba, Mukul R. Prasad, Susumu Tokumoto, Kuniharu Takayama, Ripon K. Saha, Hiroaki Yoshida
Publikováno v:
ICSE (Companion Volume)
Object-oriented (OO) languages, by design, make heavy use of method invocations (MI). Unsurprisingly, a large fraction of OO-program bug patches also involves method invocations. However, current program repair techniques incorporate MIs in very limi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce347ba6b53a2b85bbbb5f19c4c0e2dc
https://doi.org/10.1145/3183440.3183487
https://doi.org/10.1145/3183440.3183487