Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Yasuharu Nishi"'
Publikováno v:
2023 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa08a03c8dac12486b46667f324b1279
https://doi.org/10.1109/icstw58534.2023.00058
https://doi.org/10.1109/icstw58534.2023.00058
Publikováno v:
2023 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7572ea3e89da31f79ff6a76114b39483
https://doi.org/10.1109/icstw58534.2023.00057
https://doi.org/10.1109/icstw58534.2023.00057
Publikováno v:
2022 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e035b76225a18aef2fb7add2dd07855e
https://doi.org/10.1109/icstw55395.2022.00050
https://doi.org/10.1109/icstw55395.2022.00050
Publikováno v:
2022 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8582f74411c11b71eee8125e91876530
https://doi.org/10.1109/icstw55395.2022.00049
https://doi.org/10.1109/icstw55395.2022.00049
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:
Yasuharu Nishi, Yusuke Shibasaki
Publikováno v:
ICST Workshops
Testing software using machine learning and neural network is difficult due to non-linearity. This paper proposes Boosted Exploratory Test architecture to support creativity of test engineers by using a non-linear test generator. This paper also show
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb4ebbcac6c505bb2d9d66e07586b39e
https://doi.org/10.1109/icstw52544.2021.00038
https://doi.org/10.1109/icstw52544.2021.00038
Autor:
Yasuharu Nishi, Hidetoshi Suhara
Publikováno v:
ICST Workshops
Design of test scenarios is necessary in software and system development and testing in the automotive domain. It is required to conform several standards though concept and definition of test scenario vary from syntax to semantics. This paper propos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fee4d3a635da09a9971319a6d79e07f5
https://doi.org/10.1109/icstw50294.2020.00048
https://doi.org/10.1109/icstw50294.2020.00048
Publikováno v:
ICST Workshops
International standards for software testing have been published in 2013 and are now widely used in industry and academia. However, these standards are difficult to use for the analysis of testing for complex software. Complex software has a huge num
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ea4f5c027a9a37a5080ab6ed499bec2
https://doi.org/10.1109/icstw50294.2020.00049
https://doi.org/10.1109/icstw50294.2020.00049
Publikováno v:
ISSRE Workshops
Reviewing is a key technology to software reliability engineering. One of the most important purposes of reviewing is to detect faults. There are various sorts of reviewing techniques proposed such as Defect-based Reading and Orthogonal Defect Classi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f48979a8a2f81ad0421c8c06dc123511
https://doi.org/10.1109/issrew.2018.00-39
https://doi.org/10.1109/issrew.2018.00-39
Publikováno v:
ICST Workshops
As machine learning (ML) technology continues to spread by rapid evolution, the system or service using Machine Learning technology, called ML product, makes big impact on our life, society and economy. Meanwhile, Quality Assurance (QA) for ML produc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::665593e0dde105409e5ad0f98fa65d73
https://doi.org/10.1109/icstw.2018.00060
https://doi.org/10.1109/icstw.2018.00060